mirror of
https://github.com/langbot-app/LangBot.git
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2
.github/pull_request_template.md
vendored
2
.github/pull_request_template.md
vendored
@@ -9,7 +9,7 @@
|
||||
|
||||
*请在方括号间写`x`以打勾 / Please tick the box with `x`*
|
||||
|
||||
- [ ] 阅读仓库[贡献指引](https://github.com/RockChinQ/LangBot/blob/master/CONTRIBUTING.md)了吗? / Have you read the [contribution guide](https://github.com/RockChinQ/LangBot/blob/master/CONTRIBUTING.md)?
|
||||
- [ ] 阅读仓库[贡献指引](https://github.com/langbot-app/LangBot/blob/master/CONTRIBUTING.md)了吗? / Have you read the [contribution guide](https://github.com/langbot-app/LangBot/blob/master/CONTRIBUTING.md)?
|
||||
- [ ] 与项目所有者沟通过了吗? / Have you communicated with the project maintainer?
|
||||
- [ ] 我确定已自行测试所作的更改,确保功能符合预期。 / I have tested the changes and ensured they work as expected.
|
||||
|
||||
|
||||
3
.gitignore
vendored
3
.gitignore
vendored
@@ -42,4 +42,5 @@ botpy.log*
|
||||
test.py
|
||||
/web_ui
|
||||
.venv/
|
||||
uv.lock
|
||||
uv.lock
|
||||
/test
|
||||
82
README.md
82
README.md
@@ -1,50 +1,40 @@
|
||||
|
||||
<p align="center">
|
||||
<a href="https://langbot.app">
|
||||
<img src="https://docs.langbot.app/social.png" alt="LangBot"/>
|
||||
<img src="https://docs.langbot.app/social_zh.png" alt="LangBot"/>
|
||||
</a>
|
||||
|
||||
<div align="center">
|
||||
|
||||
<a href="https://trendshift.io/repositories/12901" target="_blank"><img src="https://trendshift.io/api/badge/repositories/12901" alt="RockChinQ%2FLangBot | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
|
||||
<a href="https://hellogithub.com/repository/langbot-app/LangBot" target="_blank"><img src="https://abroad.hellogithub.com/v1/widgets/recommend.svg?rid=5ce8ae2aa4f74316bf393b57b952433c&claim_uid=gtmc6YWjMZkT21R" alt="Featured|HelloGitHub" style="width: 250px; height: 54px;" width="250" height="54" /></a>
|
||||
|
||||
[English](README_EN.md) / 简体中文 / [繁體中文](README_TW.md) / [日本語](README_JP.md) / (PR for your language)
|
||||
|
||||
[](https://discord.gg/wdNEHETs87)
|
||||
[](https://qm.qq.com/q/JLi38whHum)
|
||||
[](https://deepwiki.com/langbot-app/LangBot)
|
||||
[](https://github.com/langbot-app/LangBot/releases/latest)
|
||||
<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
|
||||
[](https://gitcode.com/RockChinQ/LangBot)
|
||||
|
||||
<a href="https://langbot.app">项目主页</a> |
|
||||
<a href="https://docs.langbot.app/zh/insight/guide.html">部署文档</a> |
|
||||
<a href="https://docs.langbot.app/zh/plugin/plugin-intro.html">插件介绍</a> |
|
||||
<a href="https://github.com/RockChinQ/LangBot/issues/new?assignees=&labels=%E7%8B%AC%E7%AB%8B%E6%8F%92%E4%BB%B6&projects=&template=submit-plugin.yml&title=%5BPlugin%5D%3A+%E8%AF%B7%E6%B1%82%E7%99%BB%E8%AE%B0%E6%96%B0%E6%8F%92%E4%BB%B6">提交插件</a>
|
||||
<a href="https://github.com/langbot-app/LangBot/issues/new?assignees=&labels=%E7%8B%AC%E7%AB%8B%E6%8F%92%E4%BB%B6&projects=&template=submit-plugin.yml&title=%5BPlugin%5D%3A+%E8%AF%B7%E6%B1%82%E7%99%BB%E8%AE%B0%E6%96%B0%E6%8F%92%E4%BB%B6">提交插件</a>
|
||||
|
||||
<div align="center">
|
||||
😎高稳定、🧩支持扩展、🦄多模态 - 大模型原生即时通信机器人平台🤖
|
||||
</div>
|
||||
|
||||
<br/>
|
||||
|
||||
[](https://discord.gg/wdNEHETs87)
|
||||
[](https://qm.qq.com/q/JLi38whHum)
|
||||
[](https://deepwiki.com/RockChinQ/LangBot)
|
||||
[](https://github.com/RockChinQ/LangBot/releases/latest)
|
||||
<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
|
||||
[](https://gitcode.com/RockChinQ/LangBot)
|
||||
|
||||
简体中文 / [English](README_EN.md) / [日本語](README_JP.md) / (PR for your language)
|
||||
|
||||
</div>
|
||||
|
||||
</p>
|
||||
|
||||
## ✨ 特性
|
||||
|
||||
- 💬 大模型对话、Agent:支持多种大模型,适配群聊和私聊;具有多轮对话、工具调用、多模态能力,并深度适配 [Dify](https://dify.ai)。目前支持 QQ、QQ频道、企业微信、个人微信、飞书、Discord、Telegram 等平台。
|
||||
- 🛠️ 高稳定性、功能完备:原生支持访问控制、限速、敏感词过滤等机制;配置简单,支持多种部署方式。支持多流水线配置,不同机器人用于不同应用场景。
|
||||
- 🧩 插件扩展、活跃社区:支持事件驱动、组件扩展等插件机制;适配 Anthropic [MCP 协议](https://modelcontextprotocol.io/);目前已有数百个插件。
|
||||
- 😻 Web 管理面板:支持通过浏览器管理 LangBot 实例,不再需要手动编写配置文件。
|
||||
LangBot 是一个开源的大语言模型原生即时通信机器人开发平台,旨在提供开箱即用的 IM 机器人开发体验,具有 Agent、RAG、MCP 等多种 LLM 应用功能,适配全球主流即时通信平台,并提供丰富的 API 接口,支持自定义开发。
|
||||
|
||||
## 📦 开始使用
|
||||
|
||||
#### Docker Compose 部署
|
||||
|
||||
```bash
|
||||
git clone https://github.com/RockChinQ/LangBot
|
||||
git clone https://github.com/langbot-app/LangBot
|
||||
cd LangBot
|
||||
docker compose up -d
|
||||
```
|
||||
@@ -71,23 +61,25 @@ docker compose up -d
|
||||
|
||||
直接使用发行版运行,查看文档[手动部署](https://docs.langbot.app/zh/deploy/langbot/manual.html)。
|
||||
|
||||
## 📸 效果展示
|
||||
## 😎 保持更新
|
||||
|
||||
<img alt="bots" src="https://docs.langbot.app/webui/bot-page.png" width="450px"/>
|
||||
点击仓库右上角 Star 和 Watch 按钮,获取最新动态。
|
||||
|
||||
<img alt="bots" src="https://docs.langbot.app/webui/create-model.png" width="450px"/>
|
||||

|
||||
|
||||
<img alt="bots" src="https://docs.langbot.app/webui/edit-pipeline.png" width="450px"/>
|
||||
## ✨ 特性
|
||||
|
||||
<img alt="bots" src="https://docs.langbot.app/webui/plugin-market.png" width="450px"/>
|
||||
- 💬 大模型对话、Agent:支持多种大模型,适配群聊和私聊;具有多轮对话、工具调用、多模态、流式输出能力,自带 RAG(知识库)实现,并深度适配 [Dify](https://dify.ai)。
|
||||
- 🤖 多平台支持:目前支持 QQ、QQ频道、企业微信、个人微信、飞书、Discord、Telegram 等平台。
|
||||
- 🛠️ 高稳定性、功能完备:原生支持访问控制、限速、敏感词过滤等机制;配置简单,支持多种部署方式。支持多流水线配置,不同机器人用于不同应用场景。
|
||||
- 🧩 插件扩展、活跃社区:支持事件驱动、组件扩展等插件机制;适配 Anthropic [MCP 协议](https://modelcontextprotocol.io/);目前已有数百个插件。
|
||||
- 😻 Web 管理面板:支持通过浏览器管理 LangBot 实例,不再需要手动编写配置文件。
|
||||
|
||||
<img alt="回复效果(带有联网插件)" src="https://docs.langbot.app/QChatGPT-0516.png" width="500px"/>
|
||||
详细规格特性请访问[文档](https://docs.langbot.app/zh/insight/features.html)。
|
||||
|
||||
- WebUI Demo: https://demo.langbot.dev/
|
||||
- 登录信息:邮箱:`demo@langbot.app` 密码:`langbot123456`
|
||||
- 注意:仅展示webui效果,公开环境,请不要在其中填入您的任何敏感信息。
|
||||
|
||||
## 🔌 组件兼容性
|
||||
或访问 demo 环境:https://demo.langbot.dev/
|
||||
- 登录信息:邮箱:`demo@langbot.app` 密码:`langbot123456`
|
||||
- 注意:仅展示 WebUI 效果,公开环境,请不要在其中填入您的任何敏感信息。
|
||||
|
||||
### 消息平台
|
||||
|
||||
@@ -104,10 +96,6 @@ docker compose up -d
|
||||
| Discord | ✅ | |
|
||||
| Telegram | ✅ | |
|
||||
| Slack | ✅ | |
|
||||
| LINE | 🚧 | |
|
||||
| WhatsApp | 🚧 | |
|
||||
|
||||
🚧: 正在开发中
|
||||
|
||||
### 大模型能力
|
||||
|
||||
@@ -119,8 +107,10 @@ docker compose up -d
|
||||
| [Anthropic](https://www.anthropic.com/) | ✅ | |
|
||||
| [xAI](https://x.ai/) | ✅ | |
|
||||
| [智谱AI](https://open.bigmodel.cn/) | ✅ | |
|
||||
| [优云智算](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | ✅ | 大模型和 GPU 资源平台 |
|
||||
| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | ✅ | 大模型和 GPU 资源平台 |
|
||||
| [302 AI](https://share.302.ai/SuTG99) | ✅ | 大模型聚合平台 |
|
||||
| [胜算云](https://www.shengsuanyun.com/?from=CH_KYIPP758) | ✅ | 大模型和 GPU 资源平台 |
|
||||
| [302.AI](https://share.302.ai/SuTG99) | ✅ | 大模型聚合平台 |
|
||||
| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | ✅ | |
|
||||
| [Dify](https://dify.ai) | ✅ | LLMOps 平台 |
|
||||
| [Ollama](https://ollama.com/) | ✅ | 本地大模型运行平台 |
|
||||
@@ -148,14 +138,8 @@ docker compose up -d
|
||||
|
||||
## 😘 社区贡献
|
||||
|
||||
感谢以下[代码贡献者](https://github.com/RockChinQ/LangBot/graphs/contributors)和社区里其他成员对 LangBot 的贡献:
|
||||
感谢以下[代码贡献者](https://github.com/langbot-app/LangBot/graphs/contributors)和社区里其他成员对 LangBot 的贡献:
|
||||
|
||||
<a href="https://github.com/RockChinQ/LangBot/graphs/contributors">
|
||||
<img src="https://contrib.rocks/image?repo=RockChinQ/LangBot" />
|
||||
<a href="https://github.com/langbot-app/LangBot/graphs/contributors">
|
||||
<img src="https://contrib.rocks/image?repo=langbot-app/LangBot" />
|
||||
</a>
|
||||
|
||||
## 😎 保持更新
|
||||
|
||||
点击仓库右上角 Star 和 Watch 按钮,获取最新动态。
|
||||
|
||||

|
||||
|
||||
78
README_EN.md
78
README_EN.md
@@ -1,48 +1,34 @@
|
||||
<p align="center">
|
||||
<a href="https://langbot.app">
|
||||
<img src="https://docs.langbot.app/social.png" alt="LangBot"/>
|
||||
<img src="https://docs.langbot.app/social_en.png" alt="LangBot"/>
|
||||
</a>
|
||||
|
||||
<div align="center">
|
||||
|
||||
<a href="https://trendshift.io/repositories/12901" target="_blank"><img src="https://trendshift.io/api/badge/repositories/12901" alt="RockChinQ%2FLangBot | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
|
||||
English / [简体中文](README.md) / [繁體中文](README_TW.md) / [日本語](README_JP.md) / (PR for your language)
|
||||
|
||||
[](https://discord.gg/wdNEHETs87)
|
||||
[](https://deepwiki.com/langbot-app/LangBot)
|
||||
[](https://github.com/langbot-app/LangBot/releases/latest)
|
||||
<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
|
||||
|
||||
<a href="https://langbot.app">Home</a> |
|
||||
<a href="https://docs.langbot.app/en/insight/guide.html">Deployment</a> |
|
||||
<a href="https://docs.langbot.app/en/plugin/plugin-intro.html">Plugin</a> |
|
||||
<a href="https://github.com/RockChinQ/LangBot/issues/new?assignees=&labels=%E7%8B%AC%E7%AB%8B%E6%8F%92%E4%BB%B6&projects=&template=submit-plugin.yml&title=%5BPlugin%5D%3A+%E8%AF%B7%E6%B1%82%E7%99%BB%E8%AE%B0%E6%96%B0%E6%8F%92%E4%BB%B6">Submit Plugin</a>
|
||||
|
||||
<div align="center">
|
||||
😎High Stability, 🧩Extension Supported, 🦄Multi-modal - LLM Native Instant Messaging Bot Platform🤖
|
||||
</div>
|
||||
|
||||
<br/>
|
||||
|
||||
|
||||
[](https://discord.gg/wdNEHETs87)
|
||||
[](https://deepwiki.com/RockChinQ/LangBot)
|
||||
[](https://github.com/RockChinQ/LangBot/releases/latest)
|
||||
<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
|
||||
|
||||
[简体中文](README.md) / English / [日本語](README_JP.md) / (PR for your language)
|
||||
<a href="https://github.com/langbot-app/LangBot/issues/new?assignees=&labels=%E7%8B%AC%E7%AB%8B%E6%8F%92%E4%BB%B6&projects=&template=submit-plugin.yml&title=%5BPlugin%5D%3A+%E8%AF%B7%E6%B1%82%E7%99%BB%E8%AE%B0%E6%96%B0%E6%8F%92%E4%BB%B6">Submit Plugin</a>
|
||||
|
||||
</div>
|
||||
|
||||
</p>
|
||||
|
||||
## ✨ Features
|
||||
|
||||
- 💬 Chat with LLM / Agent: Supports multiple LLMs, adapt to group chats and private chats; Supports multi-round conversations, tool calls, and multi-modal capabilities. Deeply integrates with [Dify](https://dify.ai). Currently supports QQ, QQ Channel, WeCom, personal WeChat, Lark, DingTalk, Discord, Telegram, etc.
|
||||
- 🛠️ High Stability, Feature-rich: Native access control, rate limiting, sensitive word filtering, etc. mechanisms; Easy to use, supports multiple deployment methods. Supports multiple pipeline configurations, different bots can be used for different scenarios.
|
||||
- 🧩 Plugin Extension, Active Community: Support event-driven, component extension, etc. plugin mechanisms; Integrate Anthropic [MCP protocol](https://modelcontextprotocol.io/); Currently has hundreds of plugins.
|
||||
- 😻 [New] Web UI: Support management LangBot instance through the browser. No need to manually write configuration files.
|
||||
LangBot is an open-source LLM native instant messaging robot development platform, aiming to provide out-of-the-box IM robot development experience, with Agent, RAG, MCP and other LLM application functions, adapting to global instant messaging platforms, and providing rich API interfaces, supporting custom development.
|
||||
|
||||
## 📦 Getting Started
|
||||
|
||||
#### Docker Compose Deployment
|
||||
|
||||
```bash
|
||||
git clone https://github.com/RockChinQ/LangBot
|
||||
git clone https://github.com/langbot-app/LangBot
|
||||
cd LangBot
|
||||
docker compose up -d
|
||||
```
|
||||
@@ -69,23 +55,25 @@ Community contributed Zeabur template.
|
||||
|
||||
Directly use the released version to run, see the [Manual Deployment](https://docs.langbot.app/en/deploy/langbot/manual.html) documentation.
|
||||
|
||||
## 📸 Demo
|
||||
## 😎 Stay Ahead
|
||||
|
||||
<img alt="bots" src="https://docs.langbot.app/webui/bot-page.png" width="400px"/>
|
||||
Click the Star and Watch button in the upper right corner of the repository to get the latest updates.
|
||||
|
||||
<img alt="bots" src="https://docs.langbot.app/webui/create-model.png" width="400px"/>
|
||||

|
||||
|
||||
<img alt="bots" src="https://docs.langbot.app/webui/edit-pipeline.png" width="400px"/>
|
||||
## ✨ Features
|
||||
|
||||
<img alt="bots" src="https://docs.langbot.app/webui/plugin-market.png" width="400px"/>
|
||||
- 💬 Chat with LLM / Agent: Supports multiple LLMs, adapt to group chats and private chats; Supports multi-round conversations, tool calls, multi-modal, and streaming output capabilities. Built-in RAG (knowledge base) implementation, and deeply integrates with [Dify](https://dify.ai).
|
||||
- 🤖 Multi-platform Support: Currently supports QQ, QQ Channel, WeCom, personal WeChat, Lark, DingTalk, Discord, Telegram, etc.
|
||||
- 🛠️ High Stability, Feature-rich: Native access control, rate limiting, sensitive word filtering, etc. mechanisms; Easy to use, supports multiple deployment methods. Supports multiple pipeline configurations, different bots can be used for different scenarios.
|
||||
- 🧩 Plugin Extension, Active Community: Support event-driven, component extension, etc. plugin mechanisms; Integrate Anthropic [MCP protocol](https://modelcontextprotocol.io/); Currently has hundreds of plugins.
|
||||
- 😻 Web UI: Support management LangBot instance through the browser. No need to manually write configuration files.
|
||||
|
||||
<img alt="Reply Effect (with Internet Plugin)" src="https://docs.langbot.app/QChatGPT-0516.png" width="500px"/>
|
||||
For more detailed specifications, please refer to the [documentation](https://docs.langbot.app/en/insight/features.html).
|
||||
|
||||
- WebUI Demo: https://demo.langbot.dev/
|
||||
- Login information: Email: `demo@langbot.app` Password: `langbot123456`
|
||||
- Note: Only the WebUI effect is shown, please do not fill in any sensitive information in the public environment.
|
||||
|
||||
## 🔌 Component Compatibility
|
||||
Or visit the demo environment: https://demo.langbot.dev/
|
||||
- Login information: Email: `demo@langbot.app` Password: `langbot123456`
|
||||
- Note: For WebUI demo only, please do not fill in any sensitive information in the public environment.
|
||||
|
||||
### Message Platform
|
||||
|
||||
@@ -101,10 +89,6 @@ Directly use the released version to run, see the [Manual Deployment](https://do
|
||||
| Discord | ✅ | |
|
||||
| Telegram | ✅ | |
|
||||
| Slack | ✅ | |
|
||||
| LINE | 🚧 | |
|
||||
| WhatsApp | 🚧 | |
|
||||
|
||||
🚧: In development
|
||||
|
||||
### LLMs
|
||||
|
||||
@@ -116,9 +100,11 @@ Directly use the released version to run, see the [Manual Deployment](https://do
|
||||
| [Anthropic](https://www.anthropic.com/) | ✅ | |
|
||||
| [xAI](https://x.ai/) | ✅ | |
|
||||
| [Zhipu AI](https://open.bigmodel.cn/) | ✅ | |
|
||||
| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | ✅ | LLM and GPU resource platform |
|
||||
| [Dify](https://dify.ai) | ✅ | LLMOps platform |
|
||||
| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | ✅ | LLM and GPU resource platform |
|
||||
| [302 AI](https://share.302.ai/SuTG99) | ✅ | LLM gateway(MaaS) |
|
||||
| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | ✅ | LLM and GPU resource platform |
|
||||
| [302.AI](https://share.302.ai/SuTG99) | ✅ | LLM gateway(MaaS) |
|
||||
| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | ✅ | |
|
||||
| [Ollama](https://ollama.com/) | ✅ | Local LLM running platform |
|
||||
| [LMStudio](https://lmstudio.ai/) | ✅ | Local LLM running platform |
|
||||
@@ -131,14 +117,8 @@ Directly use the released version to run, see the [Manual Deployment](https://do
|
||||
|
||||
## 🤝 Community Contribution
|
||||
|
||||
Thank you for the following [code contributors](https://github.com/RockChinQ/LangBot/graphs/contributors) and other members in the community for their contributions to LangBot:
|
||||
Thank you for the following [code contributors](https://github.com/langbot-app/LangBot/graphs/contributors) and other members in the community for their contributions to LangBot:
|
||||
|
||||
<a href="https://github.com/RockChinQ/LangBot/graphs/contributors">
|
||||
<img src="https://contrib.rocks/image?repo=RockChinQ/LangBot" />
|
||||
<a href="https://github.com/langbot-app/LangBot/graphs/contributors">
|
||||
<img src="https://contrib.rocks/image?repo=langbot-app/LangBot" />
|
||||
</a>
|
||||
|
||||
## 😎 Stay Ahead
|
||||
|
||||
Click the Star and Watch button in the upper right corner of the repository to get the latest updates.
|
||||
|
||||

|
||||
79
README_JP.md
79
README_JP.md
@@ -1,47 +1,34 @@
|
||||
<p align="center">
|
||||
<a href="https://langbot.app">
|
||||
<img src="https://docs.langbot.app/social.png" alt="LangBot"/>
|
||||
<img src="https://docs.langbot.app/social_en.png" alt="LangBot"/>
|
||||
</a>
|
||||
|
||||
<div align="center">
|
||||
|
||||
<a href="https://trendshift.io/repositories/12901" target="_blank"><img src="https://trendshift.io/api/badge/repositories/12901" alt="RockChinQ%2FLangBot | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
|
||||
[English](README_EN.md) / [简体中文](README.md) / [繁體中文](README_TW.md) / 日本語 / (PR for your language)
|
||||
|
||||
[](https://discord.gg/wdNEHETs87)
|
||||
[](https://deepwiki.com/langbot-app/LangBot)
|
||||
[](https://github.com/langbot-app/LangBot/releases/latest)
|
||||
<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
|
||||
|
||||
<a href="https://langbot.app">ホーム</a> |
|
||||
<a href="https://docs.langbot.app/en/insight/guide.html">デプロイ</a> |
|
||||
<a href="https://docs.langbot.app/en/plugin/plugin-intro.html">プラグイン</a> |
|
||||
<a href="https://github.com/RockChinQ/LangBot/issues/new?assignees=&labels=%E7%8B%AC%E7%AB%8B%E6%8F%92%E4%BB%B6&projects=&template=submit-plugin.yml&title=%5BPlugin%5D%3A+%E8%AF%B7%E6%B1%82%E7%99%BB%E8%AE%B0%E6%96%B0%E6%8F%92%E4%BB%B6">プラグインの提出</a>
|
||||
|
||||
<div align="center">
|
||||
😎高い安定性、🧩拡張サポート、🦄マルチモーダル - LLMネイティブインスタントメッセージングボットプラットフォーム🤖
|
||||
</div>
|
||||
|
||||
<br/>
|
||||
|
||||
[](https://discord.gg/wdNEHETs87)
|
||||
[](https://deepwiki.com/RockChinQ/LangBot)
|
||||
[](https://github.com/RockChinQ/LangBot/releases/latest)
|
||||
<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
|
||||
|
||||
[简体中文](README_CN.md) / [English](README.md) / [日本語](README_JP.md) / (PR for your language)
|
||||
<a href="https://github.com/langbot-app/LangBot/issues/new?assignees=&labels=%E7%8B%AC%E7%AB%8B%E6%8F%92%E4%BB%B6&projects=&template=submit-plugin.yml&title=%5BPlugin%5D%3A+%E8%AF%B7%E6%B1%82%E7%99%BB%E8%AE%B0%E6%96%B0%E6%8F%92%E4%BB%B6">プラグインの提出</a>
|
||||
|
||||
</div>
|
||||
|
||||
</p>
|
||||
|
||||
## ✨ 機能
|
||||
|
||||
- 💬 LLM / エージェントとのチャット: 複数のLLMをサポートし、グループチャットとプライベートチャットに対応。マルチラウンドの会話、ツールの呼び出し、マルチモーダル機能をサポート。 [Dify](https://dify.ai) と深く統合。現在、QQ、QQ チャンネル、WeChat、個人 WeChat、Lark、DingTalk、Discord、Telegram など、複数のプラットフォームをサポートしています。
|
||||
- 🛠️ 高い安定性、豊富な機能: ネイティブのアクセス制御、レート制限、敏感な単語のフィルタリングなどのメカニズムをサポート。使いやすく、複数のデプロイ方法をサポート。複数のパイプライン設定をサポートし、異なるボットを異なる用途に使用できます。
|
||||
- 🧩 プラグイン拡張、活発なコミュニティ: イベント駆動、コンポーネント拡張などのプラグインメカニズムをサポート。適配 Anthropic [MCP プロトコル](https://modelcontextprotocol.io/);豊富なエコシステム、現在数百のプラグインが存在。
|
||||
- 😻 Web UI: ブラウザを通じてLangBotインスタンスを管理することをサポート。
|
||||
LangBot は、エージェント、RAG、MCP などの LLM アプリケーション機能を備えた、オープンソースの LLM ネイティブのインスタントメッセージングロボット開発プラットフォームです。世界中のインスタントメッセージングプラットフォームに適応し、豊富な API インターフェースを提供し、カスタム開発をサポートします。
|
||||
|
||||
## 📦 始め方
|
||||
|
||||
#### Docker Compose デプロイ
|
||||
|
||||
```bash
|
||||
git clone https://github.com/RockChinQ/LangBot
|
||||
git clone https://github.com/langbot-app/LangBot
|
||||
cd LangBot
|
||||
docker compose up -d
|
||||
```
|
||||
@@ -50,7 +37,7 @@ http://localhost:5300 にアクセスして使用を開始します。
|
||||
|
||||
詳細なドキュメントは[Dockerデプロイ](https://docs.langbot.app/en/deploy/langbot/docker.html)を参照してください。
|
||||
|
||||
#### BTPanelでのワンクリックデプロイ
|
||||
#### Panelでのワンクリックデプロイ
|
||||
|
||||
LangBotはBTPanelにリストされています。BTPanelをインストールしている場合は、[ドキュメント](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html)を使用して使用できます。
|
||||
|
||||
@@ -68,23 +55,25 @@ LangBotはBTPanelにリストされています。BTPanelをインストール
|
||||
|
||||
リリースバージョンを直接使用して実行します。[手動デプロイ](https://docs.langbot.app/en/deploy/langbot/manual.html)のドキュメントを参照してください。
|
||||
|
||||
## 📸 デモ
|
||||
## 😎 最新情報を入手
|
||||
|
||||
<img alt="bots" src="https://docs.langbot.app/webui/bot-page.png" width="400px"/>
|
||||
リポジトリの右上にある Star と Watch ボタンをクリックして、最新の更新を取得してください。
|
||||
|
||||
<img alt="bots" src="https://docs.langbot.app/webui/create-model.png" width="400px"/>
|
||||

|
||||
|
||||
<img alt="bots" src="https://docs.langbot.app/webui/edit-pipeline.png" width="400px"/>
|
||||
## ✨ 機能
|
||||
|
||||
<img alt="bots" src="https://docs.langbot.app/webui/plugin-market.png" width="400px"/>
|
||||
- 💬 LLM / エージェントとのチャット: 複数のLLMをサポートし、グループチャットとプライベートチャットに対応。マルチラウンドの会話、ツールの呼び出し、マルチモーダル、ストリーミング出力機能をサポート、RAG(知識ベース)を組み込み、[Dify](https://dify.ai) と深く統合。
|
||||
- 🤖 多プラットフォーム対応: 現在、QQ、QQ チャンネル、WeChat、個人 WeChat、Lark、DingTalk、Discord、Telegram など、複数のプラットフォームをサポートしています。
|
||||
- 🛠️ 高い安定性、豊富な機能: ネイティブのアクセス制御、レート制限、敏感な単語のフィルタリングなどのメカニズムをサポート。使いやすく、複数のデプロイ方法をサポート。複数のパイプライン設定をサポートし、異なるボットを異なる用途に使用できます。
|
||||
- 🧩 プラグイン拡張、活発なコミュニティ: イベント駆動、コンポーネント拡張などのプラグインメカニズムをサポート。適配 Anthropic [MCP プロトコル](https://modelcontextprotocol.io/);豊富なエコシステム、現在数百のプラグインが存在。
|
||||
- 😻 Web UI: ブラウザを通じてLangBotインスタンスを管理することをサポート。
|
||||
|
||||
<img alt="返信効果(インターネットプラグイン付き)" src="https://docs.langbot.app/QChatGPT-0516.png" width="500px"/>
|
||||
詳細な仕様については、[ドキュメント](https://docs.langbot.app/en/insight/features.html)を参照してください。
|
||||
|
||||
- WebUIデモ: https://demo.langbot.dev/
|
||||
- ログイン情報: メール: `demo@langbot.app` パスワード: `langbot123456`
|
||||
- 注意: WebUIの効果のみを示しています。公開環境では、機密情報を入力しないでください。
|
||||
|
||||
## 🔌 コンポーネントの互換性
|
||||
または、デモ環境にアクセスしてください: https://demo.langbot.dev/
|
||||
- ログイン情報: メール: `demo@langbot.app` パスワード: `langbot123456`
|
||||
- 注意: WebUI のデモンストレーションのみの場合、公開環境では機密情報を入力しないでください。
|
||||
|
||||
### メッセージプラットフォーム
|
||||
|
||||
@@ -100,10 +89,6 @@ LangBotはBTPanelにリストされています。BTPanelをインストール
|
||||
| Discord | ✅ | |
|
||||
| Telegram | ✅ | |
|
||||
| Slack | ✅ | |
|
||||
| LINE | 🚧 | |
|
||||
| WhatsApp | 🚧 | |
|
||||
|
||||
🚧: 開発中
|
||||
|
||||
### LLMs
|
||||
|
||||
@@ -115,8 +100,10 @@ LangBotはBTPanelにリストされています。BTPanelをインストール
|
||||
| [Anthropic](https://www.anthropic.com/) | ✅ | |
|
||||
| [xAI](https://x.ai/) | ✅ | |
|
||||
| [Zhipu AI](https://open.bigmodel.cn/) | ✅ | |
|
||||
| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | ✅ | 大模型とGPUリソースプラットフォーム |
|
||||
| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | ✅ | 大模型とGPUリソースプラットフォーム |
|
||||
| [302 AI](https://share.302.ai/SuTG99) | ✅ | LLMゲートウェイ(MaaS) |
|
||||
| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | ✅ | LLMとGPUリソースプラットフォーム |
|
||||
| [302.AI](https://share.302.ai/SuTG99) | ✅ | LLMゲートウェイ(MaaS) |
|
||||
| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | ✅ | |
|
||||
| [Dify](https://dify.ai) | ✅ | LLMOpsプラットフォーム |
|
||||
| [Ollama](https://ollama.com/) | ✅ | ローカルLLM実行プラットフォーム |
|
||||
@@ -130,14 +117,8 @@ LangBotはBTPanelにリストされています。BTPanelをインストール
|
||||
|
||||
## 🤝 コミュニティ貢献
|
||||
|
||||
LangBot への貢献に対して、以下の [コード貢献者](https://github.com/RockChinQ/LangBot/graphs/contributors) とコミュニティの他のメンバーに感謝します。
|
||||
LangBot への貢献に対して、以下の [コード貢献者](https://github.com/langbot-app/LangBot/graphs/contributors) とコミュニティの他のメンバーに感謝します。
|
||||
|
||||
<a href="https://github.com/RockChinQ/LangBot/graphs/contributors">
|
||||
<img src="https://contrib.rocks/image?repo=RockChinQ/LangBot" />
|
||||
<a href="https://github.com/langbot-app/LangBot/graphs/contributors">
|
||||
<img src="https://contrib.rocks/image?repo=langbot-app/LangBot" />
|
||||
</a>
|
||||
|
||||
## 😎 最新情報を入手
|
||||
|
||||
リポジトリの右上にある Star と Watch ボタンをクリックして、最新の更新を取得してください。
|
||||
|
||||

|
||||
140
README_TW.md
Normal file
140
README_TW.md
Normal file
@@ -0,0 +1,140 @@
|
||||
<p align="center">
|
||||
<a href="https://langbot.app">
|
||||
<img src="https://docs.langbot.app/social_zh.png" alt="LangBot"/>
|
||||
</a>
|
||||
|
||||
<div align="center"><a href="https://hellogithub.com/repository/langbot-app/LangBot" target="_blank"><img src="https://abroad.hellogithub.com/v1/widgets/recommend.svg?rid=5ce8ae2aa4f74316bf393b57b952433c&claim_uid=gtmc6YWjMZkT21R" alt="Featured|HelloGitHub" style="width: 250px; height: 54px;" width="250" height="54" /></a>
|
||||
|
||||
[English](README_EN.md) / [简体中文](README.md) / 繁體中文 / [日本語](README_JP.md) / (PR for your language)
|
||||
|
||||
[](https://discord.gg/wdNEHETs87)
|
||||
[](https://qm.qq.com/q/JLi38whHum)
|
||||
[](https://deepwiki.com/langbot-app/LangBot)
|
||||
[](https://github.com/langbot-app/LangBot/releases/latest)
|
||||
<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
|
||||
[](https://gitcode.com/RockChinQ/LangBot)
|
||||
|
||||
<a href="https://langbot.app">主頁</a> |
|
||||
<a href="https://docs.langbot.app/zh/insight/guide.html">部署文件</a> |
|
||||
<a href="https://docs.langbot.app/zh/plugin/plugin-intro.html">外掛介紹</a> |
|
||||
<a href="https://github.com/langbot-app/LangBot/issues/new?assignees=&labels=%E7%8B%AC%E7%AB%8B%E6%8F%92%E4%BB%B6&projects=&template=submit-plugin.yml&title=%5BPlugin%5D%3A+%E8%AF%B7%E6%B1%82%E7%99%BB%E8%AE%B0%E6%96%B0%E6%8F%92%E4%BB%B6">提交外掛</a>
|
||||
|
||||
</div>
|
||||
|
||||
</p>
|
||||
|
||||
LangBot 是一個開源的大語言模型原生即時通訊機器人開發平台,旨在提供開箱即用的 IM 機器人開發體驗,具有 Agent、RAG、MCP 等多種 LLM 應用功能,適配全球主流即時通訊平台,並提供豐富的 API 介面,支援自定義開發。
|
||||
|
||||
## 📦 開始使用
|
||||
|
||||
#### Docker Compose 部署
|
||||
|
||||
```bash
|
||||
git clone https://github.com/langbot-app/LangBot
|
||||
cd LangBot
|
||||
docker compose up -d
|
||||
```
|
||||
|
||||
訪問 http://localhost:5300 即可開始使用。
|
||||
|
||||
詳細文件[Docker 部署](https://docs.langbot.app/zh/deploy/langbot/docker.html)。
|
||||
|
||||
#### 寶塔面板部署
|
||||
|
||||
已上架寶塔面板,若您已安裝寶塔面板,可以根據[文件](https://docs.langbot.app/zh/deploy/langbot/one-click/bt.html)使用。
|
||||
|
||||
#### Zeabur 雲端部署
|
||||
|
||||
社群貢獻的 Zeabur 模板。
|
||||
|
||||
[](https://zeabur.com/zh-CN/templates/ZKTBDH)
|
||||
|
||||
#### Railway 雲端部署
|
||||
|
||||
[](https://railway.app/template/yRrAyL?referralCode=vogKPF)
|
||||
|
||||
#### 手動部署
|
||||
|
||||
直接使用發行版運行,查看文件[手動部署](https://docs.langbot.app/zh/deploy/langbot/manual.html)。
|
||||
|
||||
## 😎 保持更新
|
||||
|
||||
點擊倉庫右上角 Star 和 Watch 按鈕,獲取最新動態。
|
||||
|
||||

|
||||
|
||||
## ✨ 特性
|
||||
|
||||
- 💬 大模型對話、Agent:支援多種大模型,適配群聊和私聊;具有多輪對話、工具調用、多模態、流式輸出能力,自帶 RAG(知識庫)實現,並深度適配 [Dify](https://dify.ai)。
|
||||
- 🤖 多平台支援:目前支援 QQ、QQ頻道、企業微信、個人微信、飛書、Discord、Telegram 等平台。
|
||||
- 🛠️ 高穩定性、功能完備:原生支援訪問控制、限速、敏感詞過濾等機制;配置簡單,支援多種部署方式。支援多流水線配置,不同機器人用於不同應用場景。
|
||||
- 🧩 外掛擴展、活躍社群:支援事件驅動、組件擴展等外掛機制;適配 Anthropic [MCP 協議](https://modelcontextprotocol.io/);目前已有數百個外掛。
|
||||
- 😻 Web 管理面板:支援通過瀏覽器管理 LangBot 實例,不再需要手動編寫配置文件。
|
||||
|
||||
詳細規格特性請訪問[文件](https://docs.langbot.app/zh/insight/features.html)。
|
||||
|
||||
或訪問 demo 環境:https://demo.langbot.dev/
|
||||
- 登入資訊:郵箱:`demo@langbot.app` 密碼:`langbot123456`
|
||||
- 注意:僅展示 WebUI 效果,公開環境,請不要在其中填入您的任何敏感資訊。
|
||||
|
||||
### 訊息平台
|
||||
|
||||
| 平台 | 狀態 | 備註 |
|
||||
| --- | --- | --- |
|
||||
| QQ 個人號 | ✅ | QQ 個人號私聊、群聊 |
|
||||
| QQ 官方機器人 | ✅ | QQ 官方機器人,支援頻道、私聊、群聊 |
|
||||
| 微信 | ✅ | |
|
||||
| 企微對外客服 | ✅ | |
|
||||
| 微信公眾號 | ✅ | |
|
||||
| Lark | ✅ | |
|
||||
| DingTalk | ✅ | |
|
||||
| Discord | ✅ | |
|
||||
| Telegram | ✅ | |
|
||||
| Slack | ✅ | |
|
||||
|
||||
### 大模型能力
|
||||
|
||||
| 模型 | 狀態 | 備註 |
|
||||
| --- | --- | --- |
|
||||
| [OpenAI](https://platform.openai.com/) | ✅ | 可接入任何 OpenAI 介面格式模型 |
|
||||
| [DeepSeek](https://www.deepseek.com/) | ✅ | |
|
||||
| [Moonshot](https://www.moonshot.cn/) | ✅ | |
|
||||
| [Anthropic](https://www.anthropic.com/) | ✅ | |
|
||||
| [xAI](https://x.ai/) | ✅ | |
|
||||
| [智譜AI](https://open.bigmodel.cn/) | ✅ | |
|
||||
| [勝算雲](https://www.shengsuanyun.com/?from=CH_KYIPP758) | ✅ | 大模型和 GPU 資源平台 |
|
||||
| [優雲智算](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | ✅ | 大模型和 GPU 資源平台 |
|
||||
| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | ✅ | 大模型和 GPU 資源平台 |
|
||||
| [302.AI](https://share.302.ai/SuTG99) | ✅ | 大模型聚合平台 |
|
||||
| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | ✅ | |
|
||||
| [Dify](https://dify.ai) | ✅ | LLMOps 平台 |
|
||||
| [Ollama](https://ollama.com/) | ✅ | 本地大模型運行平台 |
|
||||
| [LMStudio](https://lmstudio.ai/) | ✅ | 本地大模型運行平台 |
|
||||
| [GiteeAI](https://ai.gitee.com/) | ✅ | 大模型介面聚合平台 |
|
||||
| [SiliconFlow](https://siliconflow.cn/) | ✅ | 大模型聚合平台 |
|
||||
| [阿里雲百煉](https://bailian.console.aliyun.com/) | ✅ | 大模型聚合平台, LLMOps 平台 |
|
||||
| [火山方舟](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | ✅ | 大模型聚合平台, LLMOps 平台 |
|
||||
| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | ✅ | 大模型聚合平台 |
|
||||
| [MCP](https://modelcontextprotocol.io/) | ✅ | 支援通過 MCP 協議獲取工具 |
|
||||
|
||||
### TTS
|
||||
|
||||
| 平台/模型 | 備註 |
|
||||
| --- | --- |
|
||||
| [FishAudio](https://fish.audio/zh-CN/discovery/) | [外掛](https://github.com/the-lazy-me/NewChatVoice) |
|
||||
| [海豚 AI](https://www.ttson.cn/?source=thelazy) | [外掛](https://github.com/the-lazy-me/NewChatVoice) |
|
||||
| [AzureTTS](https://portal.azure.com/) | [外掛](https://github.com/Ingnaryk/LangBot_AzureTTS) |
|
||||
|
||||
### 文生圖
|
||||
|
||||
| 平台/模型 | 備註 |
|
||||
| --- | --- |
|
||||
| 阿里雲百煉 | [外掛](https://github.com/Thetail001/LangBot_BailianTextToImagePlugin)
|
||||
|
||||
## 😘 社群貢獻
|
||||
|
||||
感謝以下[程式碼貢獻者](https://github.com/langbot-app/LangBot/graphs/contributors)和社群裡其他成員對 LangBot 的貢獻:
|
||||
|
||||
<a href="https://github.com/langbot-app/LangBot/graphs/contributors">
|
||||
<img src="https://contrib.rocks/image?repo=langbot-app/LangBot" />
|
||||
</a>
|
||||
@@ -253,6 +253,43 @@ class DingTalkClient:
|
||||
await self.logger.error(f'failed to send proactive massage to group: {traceback.format_exc()}')
|
||||
raise Exception(f'failed to send proactive massage to group: {traceback.format_exc()}')
|
||||
|
||||
async def create_and_card(
|
||||
self, temp_card_id: str, incoming_message: dingtalk_stream.ChatbotMessage, quote_origin: bool = False
|
||||
):
|
||||
content_key = 'content'
|
||||
card_data = {content_key: ''}
|
||||
|
||||
card_instance = dingtalk_stream.AICardReplier(self.client, incoming_message)
|
||||
# print(card_instance)
|
||||
# 先投放卡片: https://open.dingtalk.com/document/orgapp/create-and-deliver-cards
|
||||
card_instance_id = await card_instance.async_create_and_deliver_card(
|
||||
temp_card_id,
|
||||
card_data,
|
||||
)
|
||||
return card_instance, card_instance_id
|
||||
|
||||
async def send_card_message(self, card_instance, card_instance_id: str, content: str, is_final: bool):
|
||||
content_key = 'content'
|
||||
try:
|
||||
await card_instance.async_streaming(
|
||||
card_instance_id,
|
||||
content_key=content_key,
|
||||
content_value=content,
|
||||
append=False,
|
||||
finished=is_final,
|
||||
failed=False,
|
||||
)
|
||||
except Exception as e:
|
||||
self.logger.exception(e)
|
||||
await card_instance.async_streaming(
|
||||
card_instance_id,
|
||||
content_key=content_key,
|
||||
content_value='',
|
||||
append=False,
|
||||
finished=is_final,
|
||||
failed=True,
|
||||
)
|
||||
|
||||
async def start(self):
|
||||
"""启动 WebSocket 连接,监听消息"""
|
||||
await self.client.start()
|
||||
|
||||
@@ -104,7 +104,7 @@ class QQOfficialClient:
|
||||
return {'code': 0, 'message': 'success'}
|
||||
|
||||
except Exception as e:
|
||||
await self.logger.error(f"Error in handle_callback_request: {traceback.format_exc()}")
|
||||
await self.logger.error(f'Error in handle_callback_request: {traceback.format_exc()}')
|
||||
return {'error': str(e)}, 400
|
||||
|
||||
async def run_task(self, host: str, port: int, *args, **kwargs):
|
||||
@@ -168,7 +168,6 @@ class QQOfficialClient:
|
||||
if not await self.check_access_token():
|
||||
await self.get_access_token()
|
||||
|
||||
|
||||
url = self.base_url + '/v2/users/' + user_openid + '/messages'
|
||||
async with httpx.AsyncClient() as client:
|
||||
headers = {
|
||||
@@ -193,7 +192,6 @@ class QQOfficialClient:
|
||||
if not await self.check_access_token():
|
||||
await self.get_access_token()
|
||||
|
||||
|
||||
url = self.base_url + '/v2/groups/' + group_openid + '/messages'
|
||||
async with httpx.AsyncClient() as client:
|
||||
headers = {
|
||||
@@ -209,7 +207,7 @@ class QQOfficialClient:
|
||||
if response.status_code == 200:
|
||||
return
|
||||
else:
|
||||
await self.logger.error(f"发送群聊消息失败:{response.json()}")
|
||||
await self.logger.error(f'发送群聊消息失败:{response.json()}')
|
||||
raise Exception(response.read().decode())
|
||||
|
||||
async def send_channle_group_text_msg(self, channel_id: str, content: str, msg_id: str):
|
||||
@@ -217,7 +215,6 @@ class QQOfficialClient:
|
||||
if not await self.check_access_token():
|
||||
await self.get_access_token()
|
||||
|
||||
|
||||
url = self.base_url + '/channels/' + channel_id + '/messages'
|
||||
async with httpx.AsyncClient() as client:
|
||||
headers = {
|
||||
@@ -240,7 +237,6 @@ class QQOfficialClient:
|
||||
"""发送频道私聊消息"""
|
||||
if not await self.check_access_token():
|
||||
await self.get_access_token()
|
||||
|
||||
|
||||
url = self.base_url + '/dms/' + guild_id + '/messages'
|
||||
async with httpx.AsyncClient() as client:
|
||||
|
||||
@@ -34,7 +34,6 @@ class SlackClient:
|
||||
|
||||
if self.bot_user_id and bot_user_id == self.bot_user_id:
|
||||
return jsonify({'status': 'ok'})
|
||||
|
||||
|
||||
# 处理私信
|
||||
if data and data.get('event', {}).get('channel_type') in ['im']:
|
||||
@@ -52,7 +51,7 @@ class SlackClient:
|
||||
return jsonify({'status': 'ok'})
|
||||
|
||||
except Exception as e:
|
||||
await self.logger.error(f"Error in handle_callback_request: {traceback.format_exc()}")
|
||||
await self.logger.error(f'Error in handle_callback_request: {traceback.format_exc()}')
|
||||
raise (e)
|
||||
|
||||
async def _handle_message(self, event: SlackEvent):
|
||||
@@ -82,7 +81,7 @@ class SlackClient:
|
||||
self.bot_user_id = response['message']['bot_id']
|
||||
return
|
||||
except Exception as e:
|
||||
await self.logger.error(f"Error in send_message: {e}")
|
||||
await self.logger.error(f'Error in send_message: {e}')
|
||||
raise e
|
||||
|
||||
async def send_message_to_one(self, text: str, user_id: str):
|
||||
@@ -93,7 +92,7 @@ class SlackClient:
|
||||
|
||||
return
|
||||
except Exception as e:
|
||||
await self.logger.error(f"Error in send_message: {traceback.format_exc()}")
|
||||
await self.logger.error(f'Error in send_message: {traceback.format_exc()}')
|
||||
raise e
|
||||
|
||||
async def run_task(self, host: str, port: int, *args, **kwargs):
|
||||
|
||||
@@ -1 +1 @@
|
||||
from .client import WeChatPadClient
|
||||
from .client import WeChatPadClient as WeChatPadClient
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
from libs.wechatpad_api.util.http_util import async_request, post_json
|
||||
from libs.wechatpad_api.util.http_util import post_json
|
||||
|
||||
|
||||
class ChatRoomApi:
|
||||
@@ -7,8 +7,6 @@ class ChatRoomApi:
|
||||
self.token = token
|
||||
|
||||
def get_chatroom_member_detail(self, chatroom_name):
|
||||
params = {
|
||||
"ChatRoomName": chatroom_name
|
||||
}
|
||||
params = {'ChatRoomName': chatroom_name}
|
||||
url = self.base_url + '/group/GetChatroomMemberDetail'
|
||||
return post_json(url, token=self.token, data=params)
|
||||
|
||||
@@ -1,32 +1,23 @@
|
||||
from libs.wechatpad_api.util.http_util import async_request, post_json
|
||||
from libs.wechatpad_api.util.http_util import post_json
|
||||
import httpx
|
||||
import base64
|
||||
|
||||
|
||||
class DownloadApi:
|
||||
def __init__(self, base_url, token):
|
||||
self.base_url = base_url
|
||||
self.token = token
|
||||
|
||||
def send_download(self, aeskey, file_type, file_url):
|
||||
json_data = {
|
||||
"AesKey": aeskey,
|
||||
"FileType": file_type,
|
||||
"FileURL": file_url
|
||||
}
|
||||
url = self.base_url + "/message/SendCdnDownload"
|
||||
json_data = {'AesKey': aeskey, 'FileType': file_type, 'FileURL': file_url}
|
||||
url = self.base_url + '/message/SendCdnDownload'
|
||||
return post_json(url, token=self.token, data=json_data)
|
||||
|
||||
def get_msg_voice(self,buf_id, length, new_msgid):
|
||||
json_data = {
|
||||
"Bufid": buf_id,
|
||||
"Length": length,
|
||||
"NewMsgId": new_msgid,
|
||||
"ToUserName": ""
|
||||
}
|
||||
url = self.base_url + "/message/GetMsgVoice"
|
||||
def get_msg_voice(self, buf_id, length, new_msgid):
|
||||
json_data = {'Bufid': buf_id, 'Length': length, 'NewMsgId': new_msgid, 'ToUserName': ''}
|
||||
url = self.base_url + '/message/GetMsgVoice'
|
||||
return post_json(url, token=self.token, data=json_data)
|
||||
|
||||
|
||||
async def download_url_to_base64(self, download_url):
|
||||
async with httpx.AsyncClient() as client:
|
||||
response = await client.get(download_url)
|
||||
@@ -36,4 +27,4 @@ class DownloadApi:
|
||||
base64_str = base64.b64encode(file_bytes).decode('utf-8') # 返回字符串格式
|
||||
return base64_str
|
||||
else:
|
||||
raise Exception('获取文件失败')
|
||||
raise Exception('获取文件失败')
|
||||
|
||||
@@ -1,11 +1,6 @@
|
||||
from libs.wechatpad_api.util.http_util import post_json,async_request
|
||||
from typing import List, Dict, Any, Optional
|
||||
|
||||
|
||||
class FriendApi:
|
||||
"""联系人API类,处理所有与联系人相关的操作"""
|
||||
|
||||
def __init__(self, base_url: str, token: str):
|
||||
self.base_url = base_url
|
||||
self.token = token
|
||||
|
||||
|
||||
@@ -1,37 +1,34 @@
|
||||
from libs.wechatpad_api.util.http_util import async_request,post_json,get_json
|
||||
from libs.wechatpad_api.util.http_util import post_json, get_json
|
||||
|
||||
|
||||
class LoginApi:
|
||||
def __init__(self, base_url: str, token: str = None, admin_key: str = None):
|
||||
'''
|
||||
"""
|
||||
|
||||
Args:
|
||||
base_url: 原始路径
|
||||
token: token
|
||||
admin_key: 管理员key
|
||||
'''
|
||||
"""
|
||||
self.base_url = base_url
|
||||
self.token = token
|
||||
# self.admin_key = admin_key
|
||||
|
||||
def get_token(self, admin_key, day: int=365):
|
||||
def get_token(self, admin_key, day: int = 365):
|
||||
# 获取普通token
|
||||
url = f"{self.base_url}/admin/GenAuthKey1"
|
||||
json_data = {
|
||||
"Count": 1,
|
||||
"Days": day
|
||||
}
|
||||
url = f'{self.base_url}/admin/GenAuthKey1'
|
||||
json_data = {'Count': 1, 'Days': day}
|
||||
return post_json(base_url=url, token=admin_key, data=json_data)
|
||||
|
||||
def get_login_qr(self, Proxy: str = ""):
|
||||
'''
|
||||
def get_login_qr(self, Proxy: str = ''):
|
||||
"""
|
||||
|
||||
Args:
|
||||
Proxy:异地使用时代理
|
||||
|
||||
Returns:json数据
|
||||
|
||||
'''
|
||||
"""
|
||||
"""
|
||||
|
||||
{
|
||||
@@ -49,54 +46,37 @@ class LoginApi:
|
||||
}
|
||||
|
||||
"""
|
||||
#获取登录二维码
|
||||
url = f"{self.base_url}/login/GetLoginQrCodeNew"
|
||||
# 获取登录二维码
|
||||
url = f'{self.base_url}/login/GetLoginQrCodeNew'
|
||||
check = False
|
||||
if Proxy != "":
|
||||
if Proxy != '':
|
||||
check = True
|
||||
json_data = {
|
||||
"Check": check,
|
||||
"Proxy": Proxy
|
||||
}
|
||||
json_data = {'Check': check, 'Proxy': Proxy}
|
||||
return post_json(base_url=url, token=self.token, data=json_data)
|
||||
|
||||
|
||||
def get_login_status(self):
|
||||
# 获取登录状态
|
||||
url = f'{self.base_url}/login/GetLoginStatus'
|
||||
return get_json(base_url=url, token=self.token)
|
||||
|
||||
|
||||
|
||||
def logout(self):
|
||||
# 退出登录
|
||||
url = f'{self.base_url}/login/LogOut'
|
||||
return post_json(base_url=url, token=self.token)
|
||||
|
||||
|
||||
|
||||
|
||||
def wake_up_login(self, Proxy: str = ""):
|
||||
def wake_up_login(self, Proxy: str = ''):
|
||||
# 唤醒登录
|
||||
url = f'{self.base_url}/login/WakeUpLogin'
|
||||
check = False
|
||||
if Proxy != "":
|
||||
if Proxy != '':
|
||||
check = True
|
||||
json_data = {
|
||||
"Check": check,
|
||||
"Proxy": ""
|
||||
}
|
||||
json_data = {'Check': check, 'Proxy': ''}
|
||||
|
||||
return post_json(base_url=url, token=self.token, data=json_data)
|
||||
|
||||
|
||||
|
||||
def login(self,admin_key):
|
||||
def login(self, admin_key):
|
||||
login_status = self.get_login_status()
|
||||
if login_status["Code"] == 300 and login_status["Text"] == "你已退出微信":
|
||||
print("token已经失效,重新获取")
|
||||
if login_status['Code'] == 300 and login_status['Text'] == '你已退出微信':
|
||||
print('token已经失效,重新获取')
|
||||
token_data = self.get_token(admin_key)
|
||||
self.token = token_data["Data"][0]
|
||||
|
||||
|
||||
|
||||
self.token = token_data['Data'][0]
|
||||
|
||||
@@ -1,5 +1,4 @@
|
||||
|
||||
from libs.wechatpad_api.util.http_util import async_request, post_json
|
||||
from libs.wechatpad_api.util.http_util import post_json
|
||||
|
||||
|
||||
class MessageApi:
|
||||
@@ -7,8 +6,8 @@ class MessageApi:
|
||||
self.base_url = base_url
|
||||
self.token = token
|
||||
|
||||
def post_text(self, to_wxid, content, ats: list= []):
|
||||
'''
|
||||
def post_text(self, to_wxid, content, ats: list = []):
|
||||
"""
|
||||
|
||||
Args:
|
||||
app_id: 微信id
|
||||
@@ -18,106 +17,64 @@ class MessageApi:
|
||||
|
||||
Returns:
|
||||
|
||||
'''
|
||||
url = self.base_url + "/message/SendTextMessage"
|
||||
"""
|
||||
url = self.base_url + '/message/SendTextMessage'
|
||||
"""发送文字消息"""
|
||||
json_data = {
|
||||
"MsgItem": [
|
||||
{
|
||||
"AtWxIDList": ats,
|
||||
"ImageContent": "",
|
||||
"MsgType": 0,
|
||||
"TextContent": content,
|
||||
"ToUserName": to_wxid
|
||||
}
|
||||
]
|
||||
}
|
||||
return post_json(base_url=url, token=self.token, data=json_data)
|
||||
'MsgItem': [
|
||||
{'AtWxIDList': ats, 'ImageContent': '', 'MsgType': 0, 'TextContent': content, 'ToUserName': to_wxid}
|
||||
]
|
||||
}
|
||||
return post_json(base_url=url, token=self.token, data=json_data)
|
||||
|
||||
|
||||
|
||||
|
||||
def post_image(self, to_wxid, img_url, ats: list= []):
|
||||
def post_image(self, to_wxid, img_url, ats: list = []):
|
||||
"""发送图片消息"""
|
||||
# 这里好像可以尝试发送多个暂时未测试
|
||||
json_data = {
|
||||
"MsgItem": [
|
||||
{
|
||||
"AtWxIDList": ats,
|
||||
"ImageContent": img_url,
|
||||
"MsgType": 0,
|
||||
"TextContent": '',
|
||||
"ToUserName": to_wxid
|
||||
}
|
||||
'MsgItem': [
|
||||
{'AtWxIDList': ats, 'ImageContent': img_url, 'MsgType': 0, 'TextContent': '', 'ToUserName': to_wxid}
|
||||
]
|
||||
}
|
||||
url = self.base_url + "/message/SendImageMessage"
|
||||
url = self.base_url + '/message/SendImageMessage'
|
||||
return post_json(base_url=url, token=self.token, data=json_data)
|
||||
|
||||
def post_voice(self, to_wxid, voice_data, voice_forma, voice_duration):
|
||||
"""发送语音消息"""
|
||||
json_data = {
|
||||
"ToUserName": to_wxid,
|
||||
"VoiceData": voice_data,
|
||||
"VoiceFormat": voice_forma,
|
||||
"VoiceSecond": voice_duration
|
||||
'ToUserName': to_wxid,
|
||||
'VoiceData': voice_data,
|
||||
'VoiceFormat': voice_forma,
|
||||
'VoiceSecond': voice_duration,
|
||||
}
|
||||
url = self.base_url + "/message/SendVoice"
|
||||
url = self.base_url + '/message/SendVoice'
|
||||
return post_json(base_url=url, token=self.token, data=json_data)
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
def post_name_card(self, alias, to_wxid, nick_name, name_card_wxid, flag):
|
||||
"""发送名片消息"""
|
||||
param = {
|
||||
"CardAlias": alias,
|
||||
"CardFlag": flag,
|
||||
"CardNickName": nick_name,
|
||||
"CardWxId": name_card_wxid,
|
||||
"ToUserName": to_wxid
|
||||
'CardAlias': alias,
|
||||
'CardFlag': flag,
|
||||
'CardNickName': nick_name,
|
||||
'CardWxId': name_card_wxid,
|
||||
'ToUserName': to_wxid,
|
||||
}
|
||||
url = f"{self.base_url}/message/ShareCardMessage"
|
||||
url = f'{self.base_url}/message/ShareCardMessage'
|
||||
return post_json(base_url=url, token=self.token, data=param)
|
||||
|
||||
def post_emoji(self, to_wxid, emoji_md5, emoji_size:int=0):
|
||||
def post_emoji(self, to_wxid, emoji_md5, emoji_size: int = 0):
|
||||
"""发送emoji消息"""
|
||||
json_data = {
|
||||
"EmojiList": [
|
||||
{
|
||||
"EmojiMd5": emoji_md5,
|
||||
"EmojiSize": emoji_size,
|
||||
"ToUserName": to_wxid
|
||||
}
|
||||
]
|
||||
}
|
||||
url = f"{self.base_url}/message/SendEmojiMessage"
|
||||
json_data = {'EmojiList': [{'EmojiMd5': emoji_md5, 'EmojiSize': emoji_size, 'ToUserName': to_wxid}]}
|
||||
url = f'{self.base_url}/message/SendEmojiMessage'
|
||||
return post_json(base_url=url, token=self.token, data=json_data)
|
||||
|
||||
def post_app_msg(self, to_wxid,xml_data, contenttype:int=0):
|
||||
def post_app_msg(self, to_wxid, xml_data, contenttype: int = 0):
|
||||
"""发送appmsg消息"""
|
||||
json_data = {
|
||||
"AppList": [
|
||||
{
|
||||
"ContentType": contenttype,
|
||||
"ContentXML": xml_data,
|
||||
"ToUserName": to_wxid
|
||||
}
|
||||
]
|
||||
}
|
||||
url = f"{self.base_url}/message/SendAppMessage"
|
||||
json_data = {'AppList': [{'ContentType': contenttype, 'ContentXML': xml_data, 'ToUserName': to_wxid}]}
|
||||
url = f'{self.base_url}/message/SendAppMessage'
|
||||
return post_json(base_url=url, token=self.token, data=json_data)
|
||||
|
||||
|
||||
|
||||
def revoke_msg(self, to_wxid, msg_id, new_msg_id, create_time):
|
||||
"""撤回消息"""
|
||||
param = {
|
||||
"ClientMsgId": msg_id,
|
||||
"CreateTime": create_time,
|
||||
"NewMsgId": new_msg_id,
|
||||
"ToUserName": to_wxid
|
||||
}
|
||||
url = f"{self.base_url}/message/RevokeMsg"
|
||||
return post_json(base_url=url, token=self.token, data=param)
|
||||
param = {'ClientMsgId': msg_id, 'CreateTime': create_time, 'NewMsgId': new_msg_id, 'ToUserName': to_wxid}
|
||||
url = f'{self.base_url}/message/RevokeMsg'
|
||||
return post_json(base_url=url, token=self.token, data=param)
|
||||
|
||||
@@ -12,12 +12,9 @@ class UserApi:
|
||||
|
||||
return get_json(base_url=url, token=self.token)
|
||||
|
||||
def get_qr_code(self, recover:bool=True, style:int=8):
|
||||
def get_qr_code(self, recover: bool = True, style: int = 8):
|
||||
"""获取自己的二维码"""
|
||||
param = {
|
||||
"Recover": recover,
|
||||
"Style": style
|
||||
}
|
||||
param = {'Recover': recover, 'Style': style}
|
||||
url = f'{self.base_url}/user/GetMyQRCode'
|
||||
return post_json(base_url=url, token=self.token, data=param)
|
||||
|
||||
@@ -26,12 +23,8 @@ class UserApi:
|
||||
url = f'{self.base_url}/equipment/GetSafetyInfo'
|
||||
return post_json(base_url=url, token=self.token)
|
||||
|
||||
|
||||
|
||||
async def update_head_img(self, head_img_base64):
|
||||
async def update_head_img(self, head_img_base64):
|
||||
"""修改头像"""
|
||||
param = {
|
||||
"Base64": head_img_base64
|
||||
}
|
||||
param = {'Base64': head_img_base64}
|
||||
url = f'{self.base_url}/user/UploadHeadImage'
|
||||
return await async_request(base_url=url, token_key=self.token, json=param)
|
||||
return await async_request(base_url=url, token_key=self.token, json=param)
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
|
||||
from libs.wechatpad_api.api.login import LoginApi
|
||||
from libs.wechatpad_api.api.friend import FriendApi
|
||||
from libs.wechatpad_api.api.message import MessageApi
|
||||
@@ -7,9 +6,6 @@ from libs.wechatpad_api.api.downloadpai import DownloadApi
|
||||
from libs.wechatpad_api.api.chatroom import ChatRoomApi
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
class WeChatPadClient:
|
||||
def __init__(self, base_url, token, logger=None):
|
||||
self._login_api = LoginApi(base_url, token)
|
||||
@@ -20,16 +16,16 @@ class WeChatPadClient:
|
||||
self._chatroom_api = ChatRoomApi(base_url, token)
|
||||
self.logger = logger
|
||||
|
||||
def get_token(self,admin_key, day: int):
|
||||
'''获取token'''
|
||||
def get_token(self, admin_key, day: int):
|
||||
"""获取token"""
|
||||
return self._login_api.get_token(admin_key, day)
|
||||
|
||||
def get_login_qr(self, Proxy:str=""):
|
||||
def get_login_qr(self, Proxy: str = ''):
|
||||
"""登录二维码"""
|
||||
return self._login_api.get_login_qr(Proxy=Proxy)
|
||||
|
||||
def awaken_login(self, Proxy:str=""):
|
||||
'''唤醒登录'''
|
||||
def awaken_login(self, Proxy: str = ''):
|
||||
"""唤醒登录"""
|
||||
return self._login_api.wake_up_login(Proxy=Proxy)
|
||||
|
||||
def log_out(self):
|
||||
@@ -40,59 +36,57 @@ class WeChatPadClient:
|
||||
"""获取登录状态"""
|
||||
return self._login_api.get_login_status()
|
||||
|
||||
def send_text_message(self, to_wxid, message, ats: list=[]):
|
||||
def send_text_message(self, to_wxid, message, ats: list = []):
|
||||
"""发送文本消息"""
|
||||
return self._message_api.post_text(to_wxid, message, ats)
|
||||
return self._message_api.post_text(to_wxid, message, ats)
|
||||
|
||||
def send_image_message(self, to_wxid, img_url, ats: list=[]):
|
||||
def send_image_message(self, to_wxid, img_url, ats: list = []):
|
||||
"""发送图片消息"""
|
||||
return self._message_api.post_image(to_wxid, img_url, ats)
|
||||
return self._message_api.post_image(to_wxid, img_url, ats)
|
||||
|
||||
def send_voice_message(self, to_wxid, voice_data, voice_forma, voice_duration):
|
||||
"""发送音频消息"""
|
||||
return self._message_api.post_voice(to_wxid, voice_data, voice_forma, voice_duration)
|
||||
return self._message_api.post_voice(to_wxid, voice_data, voice_forma, voice_duration)
|
||||
|
||||
def send_app_message(self, to_wxid, app_message, type):
|
||||
"""发送app消息"""
|
||||
return self._message_api.post_app_msg(to_wxid, app_message, type)
|
||||
return self._message_api.post_app_msg(to_wxid, app_message, type)
|
||||
|
||||
def send_emoji_message(self, to_wxid, emoji_md5, emoji_size):
|
||||
"""发送emoji消息"""
|
||||
return self._message_api.post_emoji(to_wxid,emoji_md5,emoji_size)
|
||||
return self._message_api.post_emoji(to_wxid, emoji_md5, emoji_size)
|
||||
|
||||
def revoke_msg(self, to_wxid, msg_id, new_msg_id, create_time):
|
||||
"""撤回消息"""
|
||||
return self._message_api.revoke_msg(to_wxid, msg_id, new_msg_id, create_time)
|
||||
return self._message_api.revoke_msg(to_wxid, msg_id, new_msg_id, create_time)
|
||||
|
||||
def get_profile(self):
|
||||
"""获取用户信息"""
|
||||
return self._user_api.get_profile()
|
||||
|
||||
def get_qr_code(self, recover:bool=True, style:int=8):
|
||||
def get_qr_code(self, recover: bool = True, style: int = 8):
|
||||
"""获取用户二维码"""
|
||||
return self._user_api.get_qr_code(recover=recover, style=style)
|
||||
return self._user_api.get_qr_code(recover=recover, style=style)
|
||||
|
||||
def get_safety_info(self):
|
||||
"""获取设备信息"""
|
||||
return self._user_api.get_safety_info()
|
||||
return self._user_api.get_safety_info()
|
||||
|
||||
def update_head_img(self, head_img_base64):
|
||||
def update_head_img(self, head_img_base64):
|
||||
"""上传用户头像"""
|
||||
return self._user_api.update_head_img(head_img_base64)
|
||||
return self._user_api.update_head_img(head_img_base64)
|
||||
|
||||
def cdn_download(self, aeskey, file_type, file_url):
|
||||
"""cdn下载"""
|
||||
return self._download_api.send_download( aeskey, file_type, file_url)
|
||||
return self._download_api.send_download(aeskey, file_type, file_url)
|
||||
|
||||
def get_msg_voice(self,buf_id, length, msgid):
|
||||
def get_msg_voice(self, buf_id, length, msgid):
|
||||
"""下载语音"""
|
||||
return self._download_api.get_msg_voice(buf_id, length, msgid)
|
||||
|
||||
async def download_base64(self,url):
|
||||
async def download_base64(self, url):
|
||||
return await self._download_api.download_url_to_base64(download_url=url)
|
||||
|
||||
def get_chatroom_member_detail(self, chatroom_name):
|
||||
"""查看群成员详情"""
|
||||
return self._chatroom_api.get_chatroom_member_detail(chatroom_name)
|
||||
|
||||
|
||||
|
||||
@@ -1,10 +1,9 @@
|
||||
import requests
|
||||
import aiohttp
|
||||
|
||||
|
||||
def post_json(base_url, token, data=None):
|
||||
headers = {
|
||||
'Content-Type': 'application/json'
|
||||
}
|
||||
|
||||
headers = {'Content-Type': 'application/json'}
|
||||
|
||||
url = base_url + f'?key={token}'
|
||||
|
||||
@@ -18,14 +17,12 @@ def post_json(base_url, token, data=None):
|
||||
else:
|
||||
raise RuntimeError(response.text)
|
||||
except Exception as e:
|
||||
print(f"http请求失败, url={url}, exception={e}")
|
||||
print(f'http请求失败, url={url}, exception={e}')
|
||||
raise RuntimeError(str(e))
|
||||
|
||||
def get_json(base_url, token):
|
||||
headers = {
|
||||
'Content-Type': 'application/json'
|
||||
}
|
||||
|
||||
def get_json(base_url, token):
|
||||
headers = {'Content-Type': 'application/json'}
|
||||
|
||||
url = base_url + f'?key={token}'
|
||||
|
||||
@@ -39,21 +36,18 @@ def get_json(base_url, token):
|
||||
else:
|
||||
raise RuntimeError(response.text)
|
||||
except Exception as e:
|
||||
print(f"http请求失败, url={url}, exception={e}")
|
||||
print(f'http请求失败, url={url}, exception={e}')
|
||||
raise RuntimeError(str(e))
|
||||
|
||||
import aiohttp
|
||||
import asyncio
|
||||
|
||||
|
||||
async def async_request(
|
||||
base_url: str,
|
||||
token_key: str,
|
||||
method: str = 'POST',
|
||||
params: dict = None,
|
||||
# headers: dict = None,
|
||||
data: dict = None,
|
||||
json: dict = None
|
||||
base_url: str,
|
||||
token_key: str,
|
||||
method: str = 'POST',
|
||||
params: dict = None,
|
||||
# headers: dict = None,
|
||||
data: dict = None,
|
||||
json: dict = None,
|
||||
):
|
||||
"""
|
||||
通用异步请求函数
|
||||
@@ -67,18 +61,11 @@ async def async_request(
|
||||
:param json: JSON数据
|
||||
:return: 响应文本
|
||||
"""
|
||||
headers = {
|
||||
'Content-Type': 'application/json'
|
||||
}
|
||||
url = f"{base_url}?key={token_key}"
|
||||
headers = {'Content-Type': 'application/json'}
|
||||
url = f'{base_url}?key={token_key}'
|
||||
async with aiohttp.ClientSession() as session:
|
||||
async with session.request(
|
||||
method=method,
|
||||
url=url,
|
||||
params=params,
|
||||
headers=headers,
|
||||
data=data,
|
||||
json=json
|
||||
method=method, url=url, params=params, headers=headers, data=data, json=json
|
||||
) as response:
|
||||
response.raise_for_status() # 如果状态码不是200,抛出异常
|
||||
result = await response.json()
|
||||
@@ -89,4 +76,3 @@ async def async_request(
|
||||
# return await result
|
||||
# else:
|
||||
# raise RuntimeError("请求失败",response.text)
|
||||
|
||||
|
||||
@@ -1,31 +1,34 @@
|
||||
import qrcode
|
||||
|
||||
|
||||
def print_green(text):
|
||||
print(f"\033[32m{text}\033[0m")
|
||||
print(f'\033[32m{text}\033[0m')
|
||||
|
||||
|
||||
def print_yellow(text):
|
||||
print(f"\033[33m{text}\033[0m")
|
||||
print(f'\033[33m{text}\033[0m')
|
||||
|
||||
|
||||
def print_red(text):
|
||||
print(f"\033[31m{text}\033[0m")
|
||||
print(f'\033[31m{text}\033[0m')
|
||||
|
||||
|
||||
def make_and_print_qr(url):
|
||||
"""生成并打印二维码
|
||||
|
||||
|
||||
Args:
|
||||
url: 需要生成二维码的URL字符串
|
||||
|
||||
|
||||
Returns:
|
||||
None
|
||||
|
||||
|
||||
功能:
|
||||
1. 在终端打印二维码的ASCII图形
|
||||
2. 同时提供在线二维码生成链接作为备选
|
||||
"""
|
||||
print_green("请扫描下方二维码登录")
|
||||
print_green('请扫描下方二维码登录')
|
||||
qr = qrcode.QRCode()
|
||||
qr.add_data(url)
|
||||
qr.make()
|
||||
qr.print_ascii(invert=True)
|
||||
print_green(f"也可以访问下方链接获取二维码:\nhttps://api.qrserver.com/v1/create-qr-code/?data={url}")
|
||||
|
||||
print_green(f'也可以访问下方链接获取二维码:\nhttps://api.qrserver.com/v1/create-qr-code/?data={url}')
|
||||
|
||||
@@ -57,7 +57,7 @@ class WecomClient:
|
||||
if 'access_token' in data:
|
||||
return data['access_token']
|
||||
else:
|
||||
await self.logger.error(f"获取accesstoken失败:{response.json()}")
|
||||
await self.logger.error(f'获取accesstoken失败:{response.json()}')
|
||||
raise Exception(f'未获取access token: {data}')
|
||||
|
||||
async def get_users(self):
|
||||
@@ -129,7 +129,7 @@ class WecomClient:
|
||||
response = await client.post(url, json=params)
|
||||
data = response.json()
|
||||
except Exception as e:
|
||||
await self.logger.error(f"发送图片失败:{data}")
|
||||
await self.logger.error(f'发送图片失败:{data}')
|
||||
raise Exception('Failed to send image: ' + str(e))
|
||||
|
||||
# 企业微信错误码40014和42001,代表accesstoken问题
|
||||
@@ -164,7 +164,7 @@ class WecomClient:
|
||||
self.access_token = await self.get_access_token(self.secret)
|
||||
return await self.send_private_msg(user_id, agent_id, content)
|
||||
if data['errcode'] != 0:
|
||||
await self.logger.error(f"发送消息失败:{data}")
|
||||
await self.logger.error(f'发送消息失败:{data}')
|
||||
raise Exception('Failed to send message: ' + str(data))
|
||||
|
||||
async def handle_callback_request(self):
|
||||
@@ -181,7 +181,7 @@ class WecomClient:
|
||||
echostr = request.args.get('echostr')
|
||||
ret, reply_echo_str = wxcpt.VerifyURL(msg_signature, timestamp, nonce, echostr)
|
||||
if ret != 0:
|
||||
await self.logger.error("验证失败")
|
||||
await self.logger.error('验证失败')
|
||||
raise Exception(f'验证失败,错误码: {ret}')
|
||||
return reply_echo_str
|
||||
|
||||
@@ -189,9 +189,8 @@ class WecomClient:
|
||||
encrypt_msg = await request.data
|
||||
ret, xml_msg = wxcpt.DecryptMsg(encrypt_msg, msg_signature, timestamp, nonce)
|
||||
if ret != 0:
|
||||
await self.logger.error("消息解密失败")
|
||||
await self.logger.error('消息解密失败')
|
||||
raise Exception(f'消息解密失败,错误码: {ret}')
|
||||
|
||||
|
||||
# 解析消息并处理
|
||||
message_data = await self.get_message(xml_msg)
|
||||
@@ -202,7 +201,7 @@ class WecomClient:
|
||||
|
||||
return 'success'
|
||||
except Exception as e:
|
||||
await self.logger.error(f"Error in handle_callback_request: {traceback.format_exc()}")
|
||||
await self.logger.error(f'Error in handle_callback_request: {traceback.format_exc()}')
|
||||
return f'Error processing request: {str(e)}', 400
|
||||
|
||||
async def run_task(self, host: str, port: int, *args, **kwargs):
|
||||
@@ -301,7 +300,7 @@ class WecomClient:
|
||||
except binascii.Error as e:
|
||||
raise ValueError(f'Invalid base64 string: {str(e)}')
|
||||
else:
|
||||
await self.logger.error("Image对象出错")
|
||||
await self.logger.error('Image对象出错')
|
||||
raise ValueError('image对象出错')
|
||||
|
||||
# 设置 multipart/form-data 格式的文件
|
||||
@@ -325,7 +324,7 @@ class WecomClient:
|
||||
self.access_token = await self.get_access_token(self.secret)
|
||||
media_id = await self.upload_to_work(image)
|
||||
if data.get('errcode', 0) != 0:
|
||||
await self.logger.error(f"上传图片失败:{data}")
|
||||
await self.logger.error(f'上传图片失败:{data}')
|
||||
raise Exception('failed to upload file')
|
||||
|
||||
media_id = data.get('media_id')
|
||||
|
||||
@@ -187,7 +187,7 @@ class WecomCSClient:
|
||||
self.access_token = await self.get_access_token(self.secret)
|
||||
return await self.send_text_msg(open_kfid, external_userid, msgid, content)
|
||||
if data['errcode'] != 0:
|
||||
await self.logger.error(f"发送消息失败:{data}")
|
||||
await self.logger.error(f'发送消息失败:{data}')
|
||||
raise Exception('Failed to send message')
|
||||
return data
|
||||
|
||||
@@ -227,7 +227,7 @@ class WecomCSClient:
|
||||
return 'success'
|
||||
except Exception as e:
|
||||
if self.logger:
|
||||
await self.logger.error(f"Error in handle_callback_request: {traceback.format_exc()}")
|
||||
await self.logger.error(f'Error in handle_callback_request: {traceback.format_exc()}')
|
||||
else:
|
||||
traceback.print_exc()
|
||||
return f'Error processing request: {str(e)}', 400
|
||||
|
||||
2
main.py
2
main.py
@@ -11,7 +11,7 @@ asciiart = r"""
|
||||
|____\__,_|_||_\__, |___/\___/\__|
|
||||
|___/
|
||||
|
||||
⭐️ Open Source 开源地址: https://github.com/RockChinQ/LangBot
|
||||
⭐️ Open Source 开源地址: https://github.com/langbot-app/LangBot
|
||||
📖 Documentation 文档地址: https://docs.langbot.app
|
||||
"""
|
||||
|
||||
|
||||
@@ -11,10 +11,10 @@ from ....core import app
|
||||
|
||||
|
||||
preregistered_groups: list[type[RouterGroup]] = []
|
||||
"""RouterGroup 的预注册列表"""
|
||||
"""Pre-registered list of RouterGroup"""
|
||||
|
||||
|
||||
def group_class(name: str, path: str) -> None:
|
||||
def group_class(name: str, path: str) -> typing.Callable[[typing.Type[RouterGroup]], typing.Type[RouterGroup]]:
|
||||
"""注册一个 RouterGroup"""
|
||||
|
||||
def decorator(cls: typing.Type[RouterGroup]) -> typing.Type[RouterGroup]:
|
||||
@@ -27,7 +27,7 @@ def group_class(name: str, path: str) -> None:
|
||||
|
||||
|
||||
class AuthType(enum.Enum):
|
||||
"""认证类型"""
|
||||
"""Authentication type"""
|
||||
|
||||
NONE = 'none'
|
||||
USER_TOKEN = 'user-token'
|
||||
@@ -56,7 +56,7 @@ class RouterGroup(abc.ABC):
|
||||
auth_type: AuthType = AuthType.USER_TOKEN,
|
||||
**options: typing.Any,
|
||||
) -> typing.Callable[[RouteCallable], RouteCallable]: # decorator
|
||||
"""注册一个路由"""
|
||||
"""Register a route"""
|
||||
|
||||
def decorator(f: RouteCallable) -> RouteCallable:
|
||||
nonlocal rule
|
||||
@@ -64,11 +64,11 @@ class RouterGroup(abc.ABC):
|
||||
|
||||
async def handler_error(*args, **kwargs):
|
||||
if auth_type == AuthType.USER_TOKEN:
|
||||
# 从Authorization头中获取token
|
||||
# get token from Authorization header
|
||||
token = quart.request.headers.get('Authorization', '').replace('Bearer ', '')
|
||||
|
||||
if not token:
|
||||
return self.http_status(401, -1, '未提供有效的用户令牌')
|
||||
return self.http_status(401, -1, 'No valid user token provided')
|
||||
|
||||
try:
|
||||
user_email = await self.ap.user_service.verify_jwt_token(token)
|
||||
@@ -76,9 +76,9 @@ class RouterGroup(abc.ABC):
|
||||
# check if this account exists
|
||||
user = await self.ap.user_service.get_user_by_email(user_email)
|
||||
if not user:
|
||||
return self.http_status(401, -1, '用户不存在')
|
||||
return self.http_status(401, -1, 'User not found')
|
||||
|
||||
# 检查f是否接受user_email参数
|
||||
# check if f accepts user_email parameter
|
||||
if 'user_email' in f.__code__.co_varnames:
|
||||
kwargs['user_email'] = user_email
|
||||
except Exception as e:
|
||||
@@ -86,10 +86,11 @@ class RouterGroup(abc.ABC):
|
||||
|
||||
try:
|
||||
return await f(*args, **kwargs)
|
||||
except Exception: # 自动 500
|
||||
|
||||
except Exception as e: # 自动 500
|
||||
traceback.print_exc()
|
||||
# return self.http_status(500, -2, str(e))
|
||||
return self.http_status(500, -2, 'internal server error')
|
||||
return self.http_status(500, -2, str(e))
|
||||
|
||||
new_f = handler_error
|
||||
new_f.__name__ = (self.name + rule).replace('/', '__')
|
||||
@@ -101,7 +102,7 @@ class RouterGroup(abc.ABC):
|
||||
return decorator
|
||||
|
||||
def success(self, data: typing.Any = None) -> quart.Response:
|
||||
"""返回一个 200 响应"""
|
||||
"""Return a 200 response"""
|
||||
return quart.jsonify(
|
||||
{
|
||||
'code': 0,
|
||||
@@ -111,7 +112,7 @@ class RouterGroup(abc.ABC):
|
||||
)
|
||||
|
||||
def fail(self, code: int, msg: str) -> quart.Response:
|
||||
"""返回一个异常响应"""
|
||||
"""Return an error response"""
|
||||
|
||||
return quart.jsonify(
|
||||
{
|
||||
@@ -120,6 +121,6 @@ class RouterGroup(abc.ABC):
|
||||
}
|
||||
)
|
||||
|
||||
def http_status(self, status: int, code: int, msg: str) -> quart.Response:
|
||||
def http_status(self, status: int, code: int, msg: str) -> typing.Tuple[quart.Response, int]:
|
||||
"""返回一个指定状态码的响应"""
|
||||
return self.fail(code, msg), status
|
||||
return (self.fail(code, msg), status)
|
||||
|
||||
@@ -2,6 +2,10 @@ from __future__ import annotations
|
||||
|
||||
import quart
|
||||
import mimetypes
|
||||
import uuid
|
||||
import asyncio
|
||||
|
||||
import quart.datastructures
|
||||
|
||||
from .. import group
|
||||
|
||||
@@ -20,3 +24,23 @@ class FilesRouterGroup(group.RouterGroup):
|
||||
mime_type = 'image/jpeg'
|
||||
|
||||
return quart.Response(image_bytes, mimetype=mime_type)
|
||||
|
||||
@self.route('/documents', methods=['POST'], auth_type=group.AuthType.USER_TOKEN)
|
||||
async def _() -> quart.Response:
|
||||
request = quart.request
|
||||
# get file bytes from 'file'
|
||||
file = (await request.files)['file']
|
||||
assert isinstance(file, quart.datastructures.FileStorage)
|
||||
|
||||
file_bytes = await asyncio.to_thread(file.stream.read)
|
||||
extension = file.filename.split('.')[-1]
|
||||
file_name = file.filename.split('.')[0]
|
||||
|
||||
file_key = file_name + '_' + str(uuid.uuid4())[:8] + '.' + extension
|
||||
# save file to storage
|
||||
await self.ap.storage_mgr.storage_provider.save(file_key, file_bytes)
|
||||
return self.success(
|
||||
data={
|
||||
'file_id': file_key,
|
||||
}
|
||||
)
|
||||
|
||||
90
pkg/api/http/controller/groups/knowledge/base.py
Normal file
90
pkg/api/http/controller/groups/knowledge/base.py
Normal file
@@ -0,0 +1,90 @@
|
||||
import quart
|
||||
from ... import group
|
||||
|
||||
|
||||
@group.group_class('knowledge_base', '/api/v1/knowledge/bases')
|
||||
class KnowledgeBaseRouterGroup(group.RouterGroup):
|
||||
async def initialize(self) -> None:
|
||||
@self.route('', methods=['POST', 'GET'])
|
||||
async def handle_knowledge_bases() -> quart.Response:
|
||||
if quart.request.method == 'GET':
|
||||
knowledge_bases = await self.ap.knowledge_service.get_knowledge_bases()
|
||||
return self.success(data={'bases': knowledge_bases})
|
||||
|
||||
elif quart.request.method == 'POST':
|
||||
json_data = await quart.request.json
|
||||
knowledge_base_uuid = await self.ap.knowledge_service.create_knowledge_base(json_data)
|
||||
return self.success(data={'uuid': knowledge_base_uuid})
|
||||
|
||||
return self.http_status(405, -1, 'Method not allowed')
|
||||
|
||||
@self.route(
|
||||
'/<knowledge_base_uuid>',
|
||||
methods=['GET', 'DELETE', 'PUT'],
|
||||
)
|
||||
async def handle_specific_knowledge_base(knowledge_base_uuid: str) -> quart.Response:
|
||||
if quart.request.method == 'GET':
|
||||
knowledge_base = await self.ap.knowledge_service.get_knowledge_base(knowledge_base_uuid)
|
||||
|
||||
if knowledge_base is None:
|
||||
return self.http_status(404, -1, 'knowledge base not found')
|
||||
|
||||
return self.success(
|
||||
data={
|
||||
'base': knowledge_base,
|
||||
}
|
||||
)
|
||||
|
||||
elif quart.request.method == 'PUT':
|
||||
json_data = await quart.request.json
|
||||
await self.ap.knowledge_service.update_knowledge_base(knowledge_base_uuid, json_data)
|
||||
return self.success({})
|
||||
|
||||
elif quart.request.method == 'DELETE':
|
||||
await self.ap.knowledge_service.delete_knowledge_base(knowledge_base_uuid)
|
||||
return self.success({})
|
||||
|
||||
@self.route(
|
||||
'/<knowledge_base_uuid>/files',
|
||||
methods=['GET', 'POST'],
|
||||
)
|
||||
async def get_knowledge_base_files(knowledge_base_uuid: str) -> str:
|
||||
if quart.request.method == 'GET':
|
||||
files = await self.ap.knowledge_service.get_files_by_knowledge_base(knowledge_base_uuid)
|
||||
return self.success(
|
||||
data={
|
||||
'files': files,
|
||||
}
|
||||
)
|
||||
|
||||
elif quart.request.method == 'POST':
|
||||
json_data = await quart.request.json
|
||||
file_id = json_data.get('file_id')
|
||||
if not file_id:
|
||||
return self.http_status(400, -1, 'File ID is required')
|
||||
|
||||
# 调用服务层方法将文件与知识库关联
|
||||
task_id = await self.ap.knowledge_service.store_file(knowledge_base_uuid, file_id)
|
||||
return self.success(
|
||||
{
|
||||
'task_id': task_id,
|
||||
}
|
||||
)
|
||||
|
||||
@self.route(
|
||||
'/<knowledge_base_uuid>/files/<file_id>',
|
||||
methods=['DELETE'],
|
||||
)
|
||||
async def delete_specific_file_in_kb(file_id: str, knowledge_base_uuid: str) -> str:
|
||||
await self.ap.knowledge_service.delete_file(knowledge_base_uuid, file_id)
|
||||
return self.success({})
|
||||
|
||||
@self.route(
|
||||
'/<knowledge_base_uuid>/retrieve',
|
||||
methods=['POST'],
|
||||
)
|
||||
async def retrieve_knowledge_base(knowledge_base_uuid: str) -> str:
|
||||
json_data = await quart.request.json
|
||||
query = json_data.get('query')
|
||||
results = await self.ap.knowledge_service.retrieve_knowledge_base(knowledge_base_uuid, query)
|
||||
return self.success(data={'results': results})
|
||||
@@ -11,7 +11,11 @@ class PipelinesRouterGroup(group.RouterGroup):
|
||||
@self.route('', methods=['GET', 'POST'])
|
||||
async def _() -> str:
|
||||
if quart.request.method == 'GET':
|
||||
return self.success(data={'pipelines': await self.ap.pipeline_service.get_pipelines()})
|
||||
sort_by = quart.request.args.get('sort_by', 'created_at')
|
||||
sort_order = quart.request.args.get('sort_order', 'DESC')
|
||||
return self.success(
|
||||
data={'pipelines': await self.ap.pipeline_service.get_pipelines(sort_by, sort_order)}
|
||||
)
|
||||
elif quart.request.method == 'POST':
|
||||
json_data = await quart.request.json
|
||||
|
||||
|
||||
@@ -1,3 +1,5 @@
|
||||
import json
|
||||
|
||||
import quart
|
||||
|
||||
from ... import group
|
||||
@@ -8,11 +10,19 @@ class WebChatDebugRouterGroup(group.RouterGroup):
|
||||
async def initialize(self) -> None:
|
||||
@self.route('/send', methods=['POST'])
|
||||
async def send_message(pipeline_uuid: str) -> str:
|
||||
"""发送调试消息到流水线"""
|
||||
"""Send a message to the pipeline for debugging"""
|
||||
|
||||
async def stream_generator(generator):
|
||||
yield 'data: {"type": "start"}\n\n'
|
||||
async for message in generator:
|
||||
yield f'data: {json.dumps({"message": message})}\n\n'
|
||||
yield 'data: {"type": "end"}\n\n'
|
||||
|
||||
try:
|
||||
data = await quart.request.get_json()
|
||||
session_type = data.get('session_type', 'person')
|
||||
message_chain_obj = data.get('message', [])
|
||||
is_stream = data.get('is_stream', False)
|
||||
|
||||
if not message_chain_obj:
|
||||
return self.http_status(400, -1, 'message is required')
|
||||
@@ -25,20 +35,40 @@ class WebChatDebugRouterGroup(group.RouterGroup):
|
||||
if not webchat_adapter:
|
||||
return self.http_status(404, -1, 'WebChat adapter not found')
|
||||
|
||||
result = await webchat_adapter.send_webchat_message(pipeline_uuid, session_type, message_chain_obj)
|
||||
|
||||
return self.success(
|
||||
data={
|
||||
'message': result,
|
||||
if is_stream:
|
||||
generator = webchat_adapter.send_webchat_message(
|
||||
pipeline_uuid, session_type, message_chain_obj, is_stream
|
||||
)
|
||||
# 设置正确的响应头
|
||||
headers = {
|
||||
'Content-Type': 'text/event-stream',
|
||||
'Transfer-Encoding': 'chunked',
|
||||
'Cache-Control': 'no-cache',
|
||||
'Connection': 'keep-alive'
|
||||
}
|
||||
)
|
||||
return quart.Response(stream_generator(generator), mimetype='text/event-stream',headers=headers)
|
||||
|
||||
else: # non-stream
|
||||
result = None
|
||||
async for message in webchat_adapter.send_webchat_message(
|
||||
pipeline_uuid, session_type, message_chain_obj
|
||||
):
|
||||
result = message
|
||||
if result is not None:
|
||||
return self.success(
|
||||
data={
|
||||
'message': result,
|
||||
}
|
||||
)
|
||||
else:
|
||||
return self.http_status(400, -1, 'message is required')
|
||||
|
||||
except Exception as e:
|
||||
return self.http_status(500, -1, f'Internal server error: {str(e)}')
|
||||
|
||||
@self.route('/messages/<session_type>', methods=['GET'])
|
||||
async def get_messages(pipeline_uuid: str, session_type: str) -> str:
|
||||
"""获取调试消息历史"""
|
||||
"""Get the message history of the pipeline for debugging"""
|
||||
try:
|
||||
if session_type not in ['person', 'group']:
|
||||
return self.http_status(400, -1, 'session_type must be person or group')
|
||||
@@ -57,7 +87,7 @@ class WebChatDebugRouterGroup(group.RouterGroup):
|
||||
|
||||
@self.route('/reset/<session_type>', methods=['POST'])
|
||||
async def reset_session(session_type: str) -> str:
|
||||
"""重置调试会话"""
|
||||
"""Reset the debug session"""
|
||||
try:
|
||||
if session_type not in ['person', 'group']:
|
||||
return self.http_status(400, -1, 'session_type must be person or group')
|
||||
|
||||
@@ -40,7 +40,7 @@ class PluginsRouterGroup(group.RouterGroup):
|
||||
self.ap.plugin_mgr.update_plugin(plugin_name, task_context=ctx),
|
||||
kind='plugin-operation',
|
||||
name=f'plugin-update-{plugin_name}',
|
||||
label=f'更新插件 {plugin_name}',
|
||||
label=f'Updating plugin {plugin_name}',
|
||||
context=ctx,
|
||||
)
|
||||
return self.success(data={'task_id': wrapper.id})
|
||||
@@ -62,7 +62,7 @@ class PluginsRouterGroup(group.RouterGroup):
|
||||
self.ap.plugin_mgr.uninstall_plugin(plugin_name, task_context=ctx),
|
||||
kind='plugin-operation',
|
||||
name=f'plugin-remove-{plugin_name}',
|
||||
label=f'删除插件 {plugin_name}',
|
||||
label=f'Removing plugin {plugin_name}',
|
||||
context=ctx,
|
||||
)
|
||||
|
||||
@@ -102,7 +102,7 @@ class PluginsRouterGroup(group.RouterGroup):
|
||||
self.ap.plugin_mgr.install_plugin(data['source'], task_context=ctx),
|
||||
kind='plugin-operation',
|
||||
name='plugin-install-github',
|
||||
label=f'安装插件 ...{short_source_str}',
|
||||
label=f'Installing plugin ...{short_source_str}',
|
||||
context=ctx,
|
||||
)
|
||||
|
||||
|
||||
@@ -9,18 +9,18 @@ class LLMModelsRouterGroup(group.RouterGroup):
|
||||
@self.route('', methods=['GET', 'POST'])
|
||||
async def _() -> str:
|
||||
if quart.request.method == 'GET':
|
||||
return self.success(data={'models': await self.ap.model_service.get_llm_models()})
|
||||
return self.success(data={'models': await self.ap.llm_model_service.get_llm_models()})
|
||||
elif quart.request.method == 'POST':
|
||||
json_data = await quart.request.json
|
||||
|
||||
model_uuid = await self.ap.model_service.create_llm_model(json_data)
|
||||
model_uuid = await self.ap.llm_model_service.create_llm_model(json_data)
|
||||
|
||||
return self.success(data={'uuid': model_uuid})
|
||||
|
||||
@self.route('/<model_uuid>', methods=['GET', 'PUT', 'DELETE'])
|
||||
async def _(model_uuid: str) -> str:
|
||||
if quart.request.method == 'GET':
|
||||
model = await self.ap.model_service.get_llm_model(model_uuid)
|
||||
model = await self.ap.llm_model_service.get_llm_model(model_uuid)
|
||||
|
||||
if model is None:
|
||||
return self.http_status(404, -1, 'model not found')
|
||||
@@ -29,11 +29,11 @@ class LLMModelsRouterGroup(group.RouterGroup):
|
||||
elif quart.request.method == 'PUT':
|
||||
json_data = await quart.request.json
|
||||
|
||||
await self.ap.model_service.update_llm_model(model_uuid, json_data)
|
||||
await self.ap.llm_model_service.update_llm_model(model_uuid, json_data)
|
||||
|
||||
return self.success()
|
||||
elif quart.request.method == 'DELETE':
|
||||
await self.ap.model_service.delete_llm_model(model_uuid)
|
||||
await self.ap.llm_model_service.delete_llm_model(model_uuid)
|
||||
|
||||
return self.success()
|
||||
|
||||
@@ -41,6 +41,49 @@ class LLMModelsRouterGroup(group.RouterGroup):
|
||||
async def _(model_uuid: str) -> str:
|
||||
json_data = await quart.request.json
|
||||
|
||||
await self.ap.model_service.test_llm_model(model_uuid, json_data)
|
||||
await self.ap.llm_model_service.test_llm_model(model_uuid, json_data)
|
||||
|
||||
return self.success()
|
||||
|
||||
|
||||
@group.group_class('models/embedding', '/api/v1/provider/models/embedding')
|
||||
class EmbeddingModelsRouterGroup(group.RouterGroup):
|
||||
async def initialize(self) -> None:
|
||||
@self.route('', methods=['GET', 'POST'])
|
||||
async def _() -> str:
|
||||
if quart.request.method == 'GET':
|
||||
return self.success(data={'models': await self.ap.embedding_models_service.get_embedding_models()})
|
||||
elif quart.request.method == 'POST':
|
||||
json_data = await quart.request.json
|
||||
|
||||
model_uuid = await self.ap.embedding_models_service.create_embedding_model(json_data)
|
||||
|
||||
return self.success(data={'uuid': model_uuid})
|
||||
|
||||
@self.route('/<model_uuid>', methods=['GET', 'PUT', 'DELETE'])
|
||||
async def _(model_uuid: str) -> str:
|
||||
if quart.request.method == 'GET':
|
||||
model = await self.ap.embedding_models_service.get_embedding_model(model_uuid)
|
||||
|
||||
if model is None:
|
||||
return self.http_status(404, -1, 'model not found')
|
||||
|
||||
return self.success(data={'model': model})
|
||||
elif quart.request.method == 'PUT':
|
||||
json_data = await quart.request.json
|
||||
|
||||
await self.ap.embedding_models_service.update_embedding_model(model_uuid, json_data)
|
||||
|
||||
return self.success()
|
||||
elif quart.request.method == 'DELETE':
|
||||
await self.ap.embedding_models_service.delete_embedding_model(model_uuid)
|
||||
|
||||
return self.success()
|
||||
|
||||
@self.route('/<model_uuid>/test', methods=['POST'])
|
||||
async def _(model_uuid: str) -> str:
|
||||
json_data = await quart.request.json
|
||||
|
||||
await self.ap.embedding_models_service.test_embedding_model(model_uuid, json_data)
|
||||
|
||||
return self.success()
|
||||
|
||||
@@ -8,7 +8,8 @@ class RequestersRouterGroup(group.RouterGroup):
|
||||
async def initialize(self) -> None:
|
||||
@self.route('', methods=['GET'])
|
||||
async def _() -> quart.Response:
|
||||
return self.success(data={'requesters': self.ap.model_mgr.get_available_requesters_info()})
|
||||
model_type = quart.request.args.get('type', '')
|
||||
return self.success(data={'requesters': self.ap.model_mgr.get_available_requesters_info(model_type)})
|
||||
|
||||
@self.route('/<requester_name>', methods=['GET'])
|
||||
async def _(requester_name: str) -> quart.Response:
|
||||
|
||||
@@ -1,5 +1,6 @@
|
||||
import quart
|
||||
import argon2
|
||||
import asyncio
|
||||
|
||||
from .. import group
|
||||
|
||||
@@ -13,7 +14,7 @@ class UserRouterGroup(group.RouterGroup):
|
||||
return self.success(data={'initialized': await self.ap.user_service.is_initialized()})
|
||||
|
||||
if await self.ap.user_service.is_initialized():
|
||||
return self.fail(1, '系统已初始化')
|
||||
return self.fail(1, 'System already initialized')
|
||||
|
||||
json_data = await quart.request.json
|
||||
|
||||
@@ -31,7 +32,7 @@ class UserRouterGroup(group.RouterGroup):
|
||||
try:
|
||||
token = await self.ap.user_service.authenticate(json_data['user'], json_data['password'])
|
||||
except argon2.exceptions.VerifyMismatchError:
|
||||
return self.fail(1, '用户名或密码错误')
|
||||
return self.fail(1, 'Invalid username or password')
|
||||
|
||||
return self.success(data={'token': token})
|
||||
|
||||
@@ -40,3 +41,45 @@ class UserRouterGroup(group.RouterGroup):
|
||||
token = await self.ap.user_service.generate_jwt_token(user_email)
|
||||
|
||||
return self.success(data={'token': token})
|
||||
|
||||
@self.route('/reset-password', methods=['POST'], auth_type=group.AuthType.NONE)
|
||||
async def _() -> str:
|
||||
json_data = await quart.request.json
|
||||
|
||||
user_email = json_data['user']
|
||||
recovery_key = json_data['recovery_key']
|
||||
new_password = json_data['new_password']
|
||||
|
||||
# hard sleep 3s for security
|
||||
await asyncio.sleep(3)
|
||||
|
||||
if not await self.ap.user_service.is_initialized():
|
||||
return self.http_status(400, -1, 'System not initialized')
|
||||
|
||||
user_obj = await self.ap.user_service.get_user_by_email(user_email)
|
||||
|
||||
if user_obj is None:
|
||||
return self.http_status(400, -1, 'User not found')
|
||||
|
||||
if recovery_key != self.ap.instance_config.data['system']['recovery_key']:
|
||||
return self.http_status(403, -1, 'Invalid recovery key')
|
||||
|
||||
await self.ap.user_service.reset_password(user_email, new_password)
|
||||
|
||||
return self.success(data={'user': user_email})
|
||||
|
||||
@self.route('/change-password', methods=['POST'], auth_type=group.AuthType.USER_TOKEN)
|
||||
async def _(user_email: str) -> str:
|
||||
json_data = await quart.request.json
|
||||
|
||||
current_password = json_data['current_password']
|
||||
new_password = json_data['new_password']
|
||||
|
||||
try:
|
||||
await self.ap.user_service.change_password(user_email, current_password, new_password)
|
||||
except argon2.exceptions.VerifyMismatchError:
|
||||
return self.http_status(400, -1, 'Current password is incorrect')
|
||||
except ValueError as e:
|
||||
return self.http_status(400, -1, str(e))
|
||||
|
||||
return self.success(data={'user': user_email})
|
||||
|
||||
@@ -14,11 +14,13 @@ from . import group
|
||||
from .groups import provider as groups_provider
|
||||
from .groups import platform as groups_platform
|
||||
from .groups import pipelines as groups_pipelines
|
||||
from .groups import knowledge as groups_knowledge
|
||||
|
||||
importutil.import_modules_in_pkg(groups)
|
||||
importutil.import_modules_in_pkg(groups_provider)
|
||||
importutil.import_modules_in_pkg(groups_platform)
|
||||
importutil.import_modules_in_pkg(groups_pipelines)
|
||||
importutil.import_modules_in_pkg(groups_knowledge)
|
||||
|
||||
|
||||
class HTTPController:
|
||||
@@ -45,7 +47,7 @@ class HTTPController:
|
||||
try:
|
||||
await self.quart_app.run_task(*args, **kwargs)
|
||||
except Exception as e:
|
||||
self.ap.logger.error(f'启动 HTTP 服务失败: {e}')
|
||||
self.ap.logger.error(f'Failed to start HTTP service: {e}')
|
||||
|
||||
self.ap.task_mgr.create_task(
|
||||
exception_handler(
|
||||
|
||||
@@ -10,7 +10,7 @@ from ....entity.persistence import pipeline as persistence_pipeline
|
||||
|
||||
|
||||
class BotService:
|
||||
"""机器人服务"""
|
||||
"""Bot service"""
|
||||
|
||||
ap: app.Application
|
||||
|
||||
@@ -18,7 +18,7 @@ class BotService:
|
||||
self.ap = ap
|
||||
|
||||
async def get_bots(self) -> list[dict]:
|
||||
"""获取所有机器人"""
|
||||
"""Get all bots"""
|
||||
result = await self.ap.persistence_mgr.execute_async(sqlalchemy.select(persistence_bot.Bot))
|
||||
|
||||
bots = result.all()
|
||||
@@ -26,7 +26,7 @@ class BotService:
|
||||
return [self.ap.persistence_mgr.serialize_model(persistence_bot.Bot, bot) for bot in bots]
|
||||
|
||||
async def get_bot(self, bot_uuid: str) -> dict | None:
|
||||
"""获取机器人"""
|
||||
"""Get bot"""
|
||||
result = await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.select(persistence_bot.Bot).where(persistence_bot.Bot.uuid == bot_uuid)
|
||||
)
|
||||
@@ -39,7 +39,7 @@ class BotService:
|
||||
return self.ap.persistence_mgr.serialize_model(persistence_bot.Bot, bot)
|
||||
|
||||
async def create_bot(self, bot_data: dict) -> str:
|
||||
"""创建机器人"""
|
||||
"""Create bot"""
|
||||
# TODO: 检查配置信息格式
|
||||
bot_data['uuid'] = str(uuid.uuid4())
|
||||
|
||||
@@ -63,7 +63,7 @@ class BotService:
|
||||
return bot_data['uuid']
|
||||
|
||||
async def update_bot(self, bot_uuid: str, bot_data: dict) -> None:
|
||||
"""更新机器人"""
|
||||
"""Update bot"""
|
||||
if 'uuid' in bot_data:
|
||||
del bot_data['uuid']
|
||||
|
||||
@@ -99,7 +99,7 @@ class BotService:
|
||||
session.using_conversation = None
|
||||
|
||||
async def delete_bot(self, bot_uuid: str) -> None:
|
||||
"""删除机器人"""
|
||||
"""Delete bot"""
|
||||
await self.ap.platform_mgr.remove_bot(bot_uuid)
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.delete(persistence_bot.Bot).where(persistence_bot.Bot.uuid == bot_uuid)
|
||||
|
||||
120
pkg/api/http/service/knowledge.py
Normal file
120
pkg/api/http/service/knowledge.py
Normal file
@@ -0,0 +1,120 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import uuid
|
||||
import sqlalchemy
|
||||
|
||||
from ....core import app
|
||||
from ....entity.persistence import rag as persistence_rag
|
||||
|
||||
|
||||
class KnowledgeService:
|
||||
"""知识库服务"""
|
||||
|
||||
ap: app.Application
|
||||
|
||||
def __init__(self, ap: app.Application) -> None:
|
||||
self.ap = ap
|
||||
|
||||
async def get_knowledge_bases(self) -> list[dict]:
|
||||
"""获取所有知识库"""
|
||||
result = await self.ap.persistence_mgr.execute_async(sqlalchemy.select(persistence_rag.KnowledgeBase))
|
||||
knowledge_bases = result.all()
|
||||
return [
|
||||
self.ap.persistence_mgr.serialize_model(persistence_rag.KnowledgeBase, knowledge_base)
|
||||
for knowledge_base in knowledge_bases
|
||||
]
|
||||
|
||||
async def get_knowledge_base(self, kb_uuid: str) -> dict | None:
|
||||
"""获取知识库"""
|
||||
result = await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.select(persistence_rag.KnowledgeBase).where(persistence_rag.KnowledgeBase.uuid == kb_uuid)
|
||||
)
|
||||
knowledge_base = result.first()
|
||||
if knowledge_base is None:
|
||||
return None
|
||||
return self.ap.persistence_mgr.serialize_model(persistence_rag.KnowledgeBase, knowledge_base)
|
||||
|
||||
async def create_knowledge_base(self, kb_data: dict) -> str:
|
||||
"""创建知识库"""
|
||||
kb_data['uuid'] = str(uuid.uuid4())
|
||||
await self.ap.persistence_mgr.execute_async(sqlalchemy.insert(persistence_rag.KnowledgeBase).values(kb_data))
|
||||
|
||||
kb = await self.get_knowledge_base(kb_data['uuid'])
|
||||
|
||||
await self.ap.rag_mgr.load_knowledge_base(kb)
|
||||
|
||||
return kb_data['uuid']
|
||||
|
||||
async def update_knowledge_base(self, kb_uuid: str, kb_data: dict) -> None:
|
||||
"""更新知识库"""
|
||||
if 'uuid' in kb_data:
|
||||
del kb_data['uuid']
|
||||
|
||||
if 'embedding_model_uuid' in kb_data:
|
||||
del kb_data['embedding_model_uuid']
|
||||
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.update(persistence_rag.KnowledgeBase)
|
||||
.values(kb_data)
|
||||
.where(persistence_rag.KnowledgeBase.uuid == kb_uuid)
|
||||
)
|
||||
await self.ap.rag_mgr.remove_knowledge_base_from_runtime(kb_uuid)
|
||||
|
||||
kb = await self.get_knowledge_base(kb_uuid)
|
||||
|
||||
await self.ap.rag_mgr.load_knowledge_base(kb)
|
||||
|
||||
async def store_file(self, kb_uuid: str, file_id: str) -> int:
|
||||
"""存储文件"""
|
||||
# await self.ap.persistence_mgr.execute_async(sqlalchemy.insert(persistence_rag.File).values(kb_id=kb_uuid, file_id=file_id))
|
||||
# await self.ap.rag_mgr.store_file(file_id)
|
||||
runtime_kb = await self.ap.rag_mgr.get_knowledge_base_by_uuid(kb_uuid)
|
||||
if runtime_kb is None:
|
||||
raise Exception('Knowledge base not found')
|
||||
return await runtime_kb.store_file(file_id)
|
||||
|
||||
async def retrieve_knowledge_base(self, kb_uuid: str, query: str) -> list[dict]:
|
||||
"""检索知识库"""
|
||||
runtime_kb = await self.ap.rag_mgr.get_knowledge_base_by_uuid(kb_uuid)
|
||||
if runtime_kb is None:
|
||||
raise Exception('Knowledge base not found')
|
||||
return [
|
||||
result.model_dump() for result in await runtime_kb.retrieve(query, runtime_kb.knowledge_base_entity.top_k)
|
||||
]
|
||||
|
||||
async def get_files_by_knowledge_base(self, kb_uuid: str) -> list[dict]:
|
||||
"""获取知识库文件"""
|
||||
result = await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.select(persistence_rag.File).where(persistence_rag.File.kb_id == kb_uuid)
|
||||
)
|
||||
files = result.all()
|
||||
return [self.ap.persistence_mgr.serialize_model(persistence_rag.File, file) for file in files]
|
||||
|
||||
async def delete_file(self, kb_uuid: str, file_id: str) -> None:
|
||||
"""删除文件"""
|
||||
runtime_kb = await self.ap.rag_mgr.get_knowledge_base_by_uuid(kb_uuid)
|
||||
if runtime_kb is None:
|
||||
raise Exception('Knowledge base not found')
|
||||
await runtime_kb.delete_file(file_id)
|
||||
|
||||
async def delete_knowledge_base(self, kb_uuid: str) -> None:
|
||||
"""删除知识库"""
|
||||
await self.ap.rag_mgr.delete_knowledge_base(kb_uuid)
|
||||
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.delete(persistence_rag.KnowledgeBase).where(persistence_rag.KnowledgeBase.uuid == kb_uuid)
|
||||
)
|
||||
|
||||
# delete files
|
||||
files = await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.select(persistence_rag.File).where(persistence_rag.File.kb_id == kb_uuid)
|
||||
)
|
||||
for file in files:
|
||||
# delete chunks
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.delete(persistence_rag.Chunk).where(persistence_rag.Chunk.file_id == file.uuid)
|
||||
)
|
||||
# delete file
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.delete(persistence_rag.File).where(persistence_rag.File.uuid == file.uuid)
|
||||
)
|
||||
@@ -10,7 +10,7 @@ from ....provider.modelmgr import requester as model_requester
|
||||
from ....provider import entities as llm_entities
|
||||
|
||||
|
||||
class ModelsService:
|
||||
class LLMModelsService:
|
||||
ap: app.Application
|
||||
|
||||
def __init__(self, ap: app.Application) -> None:
|
||||
@@ -101,5 +101,91 @@ class ModelsService:
|
||||
model=runtime_llm_model,
|
||||
messages=[llm_entities.Message(role='user', content='Hello, world!')],
|
||||
funcs=[],
|
||||
extra_args=model_data.get('extra_args', {}),
|
||||
)
|
||||
|
||||
|
||||
class EmbeddingModelsService:
|
||||
ap: app.Application
|
||||
|
||||
def __init__(self, ap: app.Application) -> None:
|
||||
self.ap = ap
|
||||
|
||||
async def get_embedding_models(self) -> list[dict]:
|
||||
result = await self.ap.persistence_mgr.execute_async(sqlalchemy.select(persistence_model.EmbeddingModel))
|
||||
|
||||
models = result.all()
|
||||
return [self.ap.persistence_mgr.serialize_model(persistence_model.EmbeddingModel, model) for model in models]
|
||||
|
||||
async def create_embedding_model(self, model_data: dict) -> str:
|
||||
model_data['uuid'] = str(uuid.uuid4())
|
||||
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.insert(persistence_model.EmbeddingModel).values(**model_data)
|
||||
)
|
||||
|
||||
embedding_model = await self.get_embedding_model(model_data['uuid'])
|
||||
|
||||
await self.ap.model_mgr.load_embedding_model(embedding_model)
|
||||
|
||||
return model_data['uuid']
|
||||
|
||||
async def get_embedding_model(self, model_uuid: str) -> dict | None:
|
||||
result = await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.select(persistence_model.EmbeddingModel).where(
|
||||
persistence_model.EmbeddingModel.uuid == model_uuid
|
||||
)
|
||||
)
|
||||
|
||||
model = result.first()
|
||||
|
||||
if model is None:
|
||||
return None
|
||||
|
||||
return self.ap.persistence_mgr.serialize_model(persistence_model.EmbeddingModel, model)
|
||||
|
||||
async def update_embedding_model(self, model_uuid: str, model_data: dict) -> None:
|
||||
if 'uuid' in model_data:
|
||||
del model_data['uuid']
|
||||
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.update(persistence_model.EmbeddingModel)
|
||||
.where(persistence_model.EmbeddingModel.uuid == model_uuid)
|
||||
.values(**model_data)
|
||||
)
|
||||
|
||||
await self.ap.model_mgr.remove_embedding_model(model_uuid)
|
||||
|
||||
embedding_model = await self.get_embedding_model(model_uuid)
|
||||
|
||||
await self.ap.model_mgr.load_embedding_model(embedding_model)
|
||||
|
||||
async def delete_embedding_model(self, model_uuid: str) -> None:
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.delete(persistence_model.EmbeddingModel).where(
|
||||
persistence_model.EmbeddingModel.uuid == model_uuid
|
||||
)
|
||||
)
|
||||
|
||||
await self.ap.model_mgr.remove_embedding_model(model_uuid)
|
||||
|
||||
async def test_embedding_model(self, model_uuid: str, model_data: dict) -> None:
|
||||
runtime_embedding_model: model_requester.RuntimeEmbeddingModel | None = None
|
||||
|
||||
if model_uuid != '_':
|
||||
for model in self.ap.model_mgr.embedding_models:
|
||||
if model.model_entity.uuid == model_uuid:
|
||||
runtime_embedding_model = model
|
||||
break
|
||||
|
||||
if runtime_embedding_model is None:
|
||||
raise Exception('model not found')
|
||||
|
||||
else:
|
||||
runtime_embedding_model = await self.ap.model_mgr.init_runtime_embedding_model(model_data)
|
||||
|
||||
await runtime_embedding_model.requester.invoke_embedding(
|
||||
model=runtime_embedding_model,
|
||||
input_text=['Hello, world!'],
|
||||
extra_args={},
|
||||
)
|
||||
|
||||
@@ -38,9 +38,21 @@ class PipelineService:
|
||||
self.ap.pipeline_config_meta_output.data,
|
||||
]
|
||||
|
||||
async def get_pipelines(self) -> list[dict]:
|
||||
result = await self.ap.persistence_mgr.execute_async(sqlalchemy.select(persistence_pipeline.LegacyPipeline))
|
||||
async def get_pipelines(self, sort_by: str = 'created_at', sort_order: str = 'DESC') -> list[dict]:
|
||||
query = sqlalchemy.select(persistence_pipeline.LegacyPipeline)
|
||||
|
||||
if sort_by == 'created_at':
|
||||
if sort_order == 'DESC':
|
||||
query = query.order_by(persistence_pipeline.LegacyPipeline.created_at.desc())
|
||||
else:
|
||||
query = query.order_by(persistence_pipeline.LegacyPipeline.created_at.asc())
|
||||
elif sort_by == 'updated_at':
|
||||
if sort_order == 'DESC':
|
||||
query = query.order_by(persistence_pipeline.LegacyPipeline.updated_at.desc())
|
||||
else:
|
||||
query = query.order_by(persistence_pipeline.LegacyPipeline.updated_at.asc())
|
||||
|
||||
result = await self.ap.persistence_mgr.execute_async(query)
|
||||
pipelines = result.all()
|
||||
return [
|
||||
self.ap.persistence_mgr.serialize_model(persistence_pipeline.LegacyPipeline, pipeline)
|
||||
|
||||
@@ -73,3 +73,27 @@ class UserService:
|
||||
jwt_secret = self.ap.instance_config.data['system']['jwt']['secret']
|
||||
|
||||
return jwt.decode(token, jwt_secret, algorithms=['HS256'])['user']
|
||||
|
||||
async def reset_password(self, user_email: str, new_password: str) -> None:
|
||||
ph = argon2.PasswordHasher()
|
||||
|
||||
hashed_password = ph.hash(new_password)
|
||||
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.update(user.User).where(user.User.user == user_email).values(password=hashed_password)
|
||||
)
|
||||
|
||||
async def change_password(self, user_email: str, current_password: str, new_password: str) -> None:
|
||||
ph = argon2.PasswordHasher()
|
||||
|
||||
user_obj = await self.get_user_by_email(user_email)
|
||||
if user_obj is None:
|
||||
raise ValueError('User not found')
|
||||
|
||||
ph.verify(user_obj.password, current_password)
|
||||
|
||||
hashed_password = ph.hash(new_password)
|
||||
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.update(user.User).where(user.User.user == user_email).values(password=hashed_password)
|
||||
)
|
||||
|
||||
@@ -6,7 +6,7 @@ from .. import model as file_model
|
||||
|
||||
|
||||
class JSONConfigFile(file_model.ConfigFile):
|
||||
"""JSON配置文件"""
|
||||
"""JSON config file"""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
@@ -42,7 +42,7 @@ class JSONConfigFile(file_model.ConfigFile):
|
||||
try:
|
||||
cfg = json.load(f)
|
||||
except json.JSONDecodeError as e:
|
||||
raise Exception(f'配置文件 {self.config_file_name} 语法错误: {e}')
|
||||
raise Exception(f'Syntax error in config file {self.config_file_name}: {e}')
|
||||
|
||||
if completion:
|
||||
for key in self.template_data:
|
||||
|
||||
@@ -7,13 +7,13 @@ from .. import model as file_model
|
||||
|
||||
|
||||
class PythonModuleConfigFile(file_model.ConfigFile):
|
||||
"""Python模块配置文件"""
|
||||
"""Python module config file"""
|
||||
|
||||
config_file_name: str = None
|
||||
"""配置文件名"""
|
||||
"""Config file name"""
|
||||
|
||||
template_file_name: str = None
|
||||
"""模板文件名"""
|
||||
"""Template file name"""
|
||||
|
||||
def __init__(self, config_file_name: str, template_file_name: str) -> None:
|
||||
self.config_file_name = config_file_name
|
||||
@@ -42,7 +42,7 @@ class PythonModuleConfigFile(file_model.ConfigFile):
|
||||
|
||||
cfg[key] = getattr(module, key)
|
||||
|
||||
# 从模板模块文件中进行补全
|
||||
# complete from template module file
|
||||
if completion:
|
||||
module_name = os.path.splitext(os.path.basename(self.template_file_name))[0]
|
||||
module = importlib.import_module(module_name)
|
||||
@@ -60,7 +60,7 @@ class PythonModuleConfigFile(file_model.ConfigFile):
|
||||
return cfg
|
||||
|
||||
async def save(self, data: dict):
|
||||
logging.warning('Python模块配置文件不支持保存')
|
||||
logging.warning('Python module config file does not support saving')
|
||||
|
||||
def save_sync(self, data: dict):
|
||||
logging.warning('Python模块配置文件不支持保存')
|
||||
logging.warning('Python module config file does not support saving')
|
||||
|
||||
@@ -6,7 +6,7 @@ from .. import model as file_model
|
||||
|
||||
|
||||
class YAMLConfigFile(file_model.ConfigFile):
|
||||
"""YAML配置文件"""
|
||||
"""YAML config file"""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
@@ -42,7 +42,7 @@ class YAMLConfigFile(file_model.ConfigFile):
|
||||
try:
|
||||
cfg = yaml.load(f, Loader=yaml.FullLoader)
|
||||
except yaml.YAMLError as e:
|
||||
raise Exception(f'配置文件 {self.config_file_name} 语法错误: {e}')
|
||||
raise Exception(f'Syntax error in config file {self.config_file_name}: {e}')
|
||||
|
||||
if completion:
|
||||
for key in self.template_data:
|
||||
|
||||
@@ -5,27 +5,27 @@ from .impls import pymodule, json as json_file, yaml as yaml_file
|
||||
|
||||
|
||||
class ConfigManager:
|
||||
"""配置文件管理器"""
|
||||
"""Config file manager"""
|
||||
|
||||
name: str = None
|
||||
"""配置管理器名"""
|
||||
"""Config manager name"""
|
||||
|
||||
description: str = None
|
||||
"""配置管理器描述"""
|
||||
"""Config manager description"""
|
||||
|
||||
schema: dict = None
|
||||
"""配置文件 schema
|
||||
需要符合 JSON Schema Draft 7 规范
|
||||
"""Config file schema
|
||||
Must conform to JSON Schema Draft 7 specification
|
||||
"""
|
||||
|
||||
file: file_model.ConfigFile = None
|
||||
"""配置文件实例"""
|
||||
"""Config file instance"""
|
||||
|
||||
data: dict = None
|
||||
"""配置数据"""
|
||||
"""Config data"""
|
||||
|
||||
doc_link: str = None
|
||||
"""配置文件文档链接"""
|
||||
"""Config file documentation link"""
|
||||
|
||||
def __init__(self, cfg_file: file_model.ConfigFile) -> None:
|
||||
self.file = cfg_file
|
||||
@@ -42,15 +42,15 @@ class ConfigManager:
|
||||
|
||||
|
||||
async def load_python_module_config(config_name: str, template_name: str, completion: bool = True) -> ConfigManager:
|
||||
"""加载Python模块配置文件
|
||||
"""Load Python module config file
|
||||
|
||||
Args:
|
||||
config_name (str): 配置文件名
|
||||
template_name (str): 模板文件名
|
||||
completion (bool): 是否自动补全内存中的配置文件
|
||||
config_name (str): Config file name
|
||||
template_name (str): Template file name
|
||||
completion (bool): Whether to automatically complete the config file in memory
|
||||
|
||||
Returns:
|
||||
ConfigManager: 配置文件管理器
|
||||
ConfigManager: Config file manager
|
||||
"""
|
||||
cfg_inst = pymodule.PythonModuleConfigFile(config_name, template_name)
|
||||
|
||||
@@ -66,13 +66,13 @@ async def load_json_config(
|
||||
template_data: dict = None,
|
||||
completion: bool = True,
|
||||
) -> ConfigManager:
|
||||
"""加载JSON配置文件
|
||||
"""Load JSON config file
|
||||
|
||||
Args:
|
||||
config_name (str): 配置文件名
|
||||
template_name (str): 模板文件名
|
||||
template_data (dict): 模板数据
|
||||
completion (bool): 是否自动补全内存中的配置文件
|
||||
config_name (str): Config file name
|
||||
template_name (str): Template file name
|
||||
template_data (dict): Template data
|
||||
completion (bool): Whether to automatically complete the config file in memory
|
||||
"""
|
||||
cfg_inst = json_file.JSONConfigFile(config_name, template_name, template_data)
|
||||
|
||||
@@ -88,16 +88,16 @@ async def load_yaml_config(
|
||||
template_data: dict = None,
|
||||
completion: bool = True,
|
||||
) -> ConfigManager:
|
||||
"""加载YAML配置文件
|
||||
"""Load YAML config file
|
||||
|
||||
Args:
|
||||
config_name (str): 配置文件名
|
||||
template_name (str): 模板文件名
|
||||
template_data (dict): 模板数据
|
||||
completion (bool): 是否自动补全内存中的配置文件
|
||||
config_name (str): Config file name
|
||||
template_name (str): Template file name
|
||||
template_data (dict): Template data
|
||||
completion (bool): Whether to automatically complete the config file in memory
|
||||
|
||||
Returns:
|
||||
ConfigManager: 配置文件管理器
|
||||
ConfigManager: Config file manager
|
||||
"""
|
||||
cfg_inst = yaml_file.YAMLConfigFile(config_name, template_name, template_data)
|
||||
|
||||
|
||||
@@ -2,16 +2,16 @@ import abc
|
||||
|
||||
|
||||
class ConfigFile(metaclass=abc.ABCMeta):
|
||||
"""配置文件抽象类"""
|
||||
"""Config file abstract class"""
|
||||
|
||||
config_file_name: str = None
|
||||
"""配置文件名"""
|
||||
"""Config file name"""
|
||||
|
||||
template_file_name: str = None
|
||||
"""模板文件名"""
|
||||
"""Template file name"""
|
||||
|
||||
template_data: dict = None
|
||||
"""模板数据"""
|
||||
"""Template data"""
|
||||
|
||||
@abc.abstractmethod
|
||||
def exists(self) -> bool:
|
||||
|
||||
@@ -22,15 +22,18 @@ from ..api.http.service import user as user_service
|
||||
from ..api.http.service import model as model_service
|
||||
from ..api.http.service import pipeline as pipeline_service
|
||||
from ..api.http.service import bot as bot_service
|
||||
from ..api.http.service import knowledge as knowledge_service
|
||||
from ..discover import engine as discover_engine
|
||||
from ..storage import mgr as storagemgr
|
||||
from ..utils import logcache
|
||||
from . import taskmgr
|
||||
from . import entities as core_entities
|
||||
from ..rag.knowledge import kbmgr as rag_mgr
|
||||
from ..vector import mgr as vectordb_mgr
|
||||
|
||||
|
||||
class Application:
|
||||
"""运行时应用对象和上下文"""
|
||||
"""Runtime application object and context"""
|
||||
|
||||
event_loop: asyncio.AbstractEventLoop = None
|
||||
|
||||
@@ -47,10 +50,12 @@ class Application:
|
||||
|
||||
model_mgr: llm_model_mgr.ModelManager = None
|
||||
|
||||
# TODO 移动到 pipeline 里
|
||||
rag_mgr: rag_mgr.RAGManager = None
|
||||
|
||||
# TODO move to pipeline
|
||||
tool_mgr: llm_tool_mgr.ToolManager = None
|
||||
|
||||
# ======= 配置管理器 =======
|
||||
# ======= Config manager =======
|
||||
|
||||
command_cfg: config_mgr.ConfigManager = None # deprecated
|
||||
|
||||
@@ -64,7 +69,7 @@ class Application:
|
||||
|
||||
instance_config: config_mgr.ConfigManager = None
|
||||
|
||||
# ======= 元数据配置管理器 =======
|
||||
# ======= Metadata config manager =======
|
||||
|
||||
sensitive_meta: config_mgr.ConfigManager = None
|
||||
|
||||
@@ -93,6 +98,8 @@ class Application:
|
||||
|
||||
persistence_mgr: persistencemgr.PersistenceManager = None
|
||||
|
||||
vector_db_mgr: vectordb_mgr.VectorDBManager = None
|
||||
|
||||
http_ctrl: http_controller.HTTPController = None
|
||||
|
||||
log_cache: logcache.LogCache = None
|
||||
@@ -103,12 +110,16 @@ class Application:
|
||||
|
||||
user_service: user_service.UserService = None
|
||||
|
||||
model_service: model_service.ModelsService = None
|
||||
llm_model_service: model_service.LLMModelsService = None
|
||||
|
||||
embedding_models_service: model_service.EmbeddingModelsService = None
|
||||
|
||||
pipeline_service: pipeline_service.PipelineService = None
|
||||
|
||||
bot_service: bot_service.BotService = None
|
||||
|
||||
knowledge_service: knowledge_service.KnowledgeService = None
|
||||
|
||||
def __init__(self):
|
||||
pass
|
||||
|
||||
@@ -143,6 +154,7 @@ class Application:
|
||||
name='http-api-controller',
|
||||
scopes=[core_entities.LifecycleControlScope.APPLICATION],
|
||||
)
|
||||
|
||||
self.task_mgr.create_task(
|
||||
never_ending(),
|
||||
name='never-ending-task',
|
||||
@@ -154,11 +166,11 @@ class Application:
|
||||
except asyncio.CancelledError:
|
||||
pass
|
||||
except Exception as e:
|
||||
self.logger.error(f'应用运行致命异常: {e}')
|
||||
self.logger.error(f'Application runtime fatal exception: {e}')
|
||||
self.logger.debug(f'Traceback: {traceback.format_exc()}')
|
||||
|
||||
async def print_web_access_info(self):
|
||||
"""打印访问 webui 的提示"""
|
||||
"""Print access webui tips"""
|
||||
|
||||
if not os.path.exists(os.path.join('.', 'web/out')):
|
||||
self.logger.warning('WebUI 文件缺失,请根据文档部署:https://docs.langbot.app/zh')
|
||||
@@ -190,7 +202,7 @@ class Application:
|
||||
):
|
||||
match scope:
|
||||
case core_entities.LifecycleControlScope.PLATFORM.value:
|
||||
self.logger.info('执行热重载 scope=' + scope)
|
||||
self.logger.info('Hot reload scope=' + scope)
|
||||
await self.platform_mgr.shutdown()
|
||||
|
||||
self.platform_mgr = im_mgr.PlatformManager(self)
|
||||
@@ -206,7 +218,7 @@ class Application:
|
||||
],
|
||||
)
|
||||
case core_entities.LifecycleControlScope.PLUGIN.value:
|
||||
self.logger.info('执行热重载 scope=' + scope)
|
||||
self.logger.info('Hot reload scope=' + scope)
|
||||
await self.plugin_mgr.destroy_plugins()
|
||||
|
||||
# 删除 sys.module 中所有的 plugins/* 下的模块
|
||||
@@ -222,7 +234,7 @@ class Application:
|
||||
await self.plugin_mgr.load_plugins()
|
||||
await self.plugin_mgr.initialize_plugins()
|
||||
case core_entities.LifecycleControlScope.PROVIDER.value:
|
||||
self.logger.info('执行热重载 scope=' + scope)
|
||||
self.logger.info('Hot reload scope=' + scope)
|
||||
|
||||
await self.tool_mgr.shutdown()
|
||||
|
||||
|
||||
@@ -8,7 +8,7 @@ from . import app
|
||||
from . import stage
|
||||
from ..utils import constants, importutil
|
||||
|
||||
# 引入启动阶段实现以便注册
|
||||
# Import startup stage implementation to register
|
||||
from . import stages
|
||||
|
||||
importutil.import_modules_in_pkg(stages)
|
||||
@@ -25,7 +25,7 @@ stage_order = [
|
||||
|
||||
|
||||
async def make_app(loop: asyncio.AbstractEventLoop) -> app.Application:
|
||||
# 确定是否为调试模式
|
||||
# Determine if it is debug mode
|
||||
if 'DEBUG' in os.environ and os.environ['DEBUG'] in ['true', '1']:
|
||||
constants.debug_mode = True
|
||||
|
||||
@@ -33,7 +33,7 @@ async def make_app(loop: asyncio.AbstractEventLoop) -> app.Application:
|
||||
|
||||
ap.event_loop = loop
|
||||
|
||||
# 执行启动阶段
|
||||
# Execute startup stage
|
||||
for stage_name in stage_order:
|
||||
stage_cls = stage.preregistered_stages[stage_name]
|
||||
stage_inst = stage_cls()
|
||||
@@ -47,11 +47,11 @@ async def make_app(loop: asyncio.AbstractEventLoop) -> app.Application:
|
||||
|
||||
async def main(loop: asyncio.AbstractEventLoop):
|
||||
try:
|
||||
# 挂系统信号处理
|
||||
# Hang system signal processing
|
||||
import signal
|
||||
|
||||
def signal_handler(sig, frame):
|
||||
print('[Signal] 程序退出.')
|
||||
print('[Signal] Program exit.')
|
||||
# ap.shutdown()
|
||||
os._exit(0)
|
||||
|
||||
|
||||
@@ -2,8 +2,8 @@ import pip
|
||||
import os
|
||||
from ...utils import pkgmgr
|
||||
|
||||
# 检查依赖,防止用户未安装
|
||||
# 左边为引入名称,右边为依赖名称
|
||||
# Check dependencies to prevent users from not installing
|
||||
# Left is the import name, right is the dependency name
|
||||
required_deps = {
|
||||
'requests': 'requests',
|
||||
'openai': 'openai',
|
||||
@@ -65,7 +65,7 @@ async def install_deps(deps: list[str]):
|
||||
async def precheck_plugin_deps():
|
||||
print('[Startup] Prechecking plugin dependencies...')
|
||||
|
||||
# 只有在plugins目录存在时才执行插件依赖安装
|
||||
# Only execute plugin dependency installation when the plugins directory exists
|
||||
if os.path.exists('plugins'):
|
||||
for dir in os.listdir('plugins'):
|
||||
subdir = os.path.join('plugins', dir)
|
||||
|
||||
@@ -17,7 +17,7 @@ log_colors_config = {
|
||||
|
||||
|
||||
async def init_logging(extra_handlers: list[logging.Handler] = None) -> logging.Logger:
|
||||
# 删除所有现有的logger
|
||||
# Remove all existing loggers
|
||||
for handler in logging.root.handlers[:]:
|
||||
logging.root.removeHandler(handler)
|
||||
|
||||
@@ -54,13 +54,13 @@ async def init_logging(extra_handlers: list[logging.Handler] = None) -> logging.
|
||||
handler.setFormatter(color_formatter)
|
||||
qcg_logger.addHandler(handler)
|
||||
|
||||
qcg_logger.debug('日志初始化完成,日志级别:%s' % level)
|
||||
qcg_logger.debug('Logging initialized, log level: %s' % level)
|
||||
logging.basicConfig(
|
||||
level=logging.CRITICAL, # 设置日志输出格式
|
||||
level=logging.CRITICAL, # Set log output format
|
||||
format='[DEPR][%(asctime)s.%(msecs)03d] %(pathname)s (%(lineno)d) - [%(levelname)s] :\n%(message)s',
|
||||
# 日志输出的格式
|
||||
# -8表示占位符,让输出左对齐,输出长度都为8位
|
||||
datefmt='%Y-%m-%d %H:%M:%S', # 时间输出的格式
|
||||
# Log output format
|
||||
# -8 is a placeholder, left-align the output, and output length is 8
|
||||
datefmt='%Y-%m-%d %H:%M:%S', # Time output format
|
||||
handlers=[logging.NullHandler()],
|
||||
)
|
||||
|
||||
|
||||
@@ -87,7 +87,9 @@ class Query(pydantic.BaseModel):
|
||||
"""使用的函数,由前置处理器阶段设置"""
|
||||
|
||||
resp_messages: (
|
||||
typing.Optional[list[llm_entities.Message]] | typing.Optional[list[platform_message.MessageChain]]
|
||||
typing.Optional[list[llm_entities.Message]]
|
||||
| typing.Optional[list[platform_message.MessageChain]]
|
||||
| typing.Optional[list[llm_entities.MessageChunk]]
|
||||
) = []
|
||||
"""由Process阶段生成的回复消息对象列表"""
|
||||
|
||||
|
||||
@@ -7,11 +7,11 @@ from . import app
|
||||
|
||||
|
||||
preregistered_migrations: list[typing.Type[Migration]] = []
|
||||
"""当前阶段暂不支持扩展"""
|
||||
"""Currently not supported for extension"""
|
||||
|
||||
|
||||
def migration_class(name: str, number: int):
|
||||
"""注册一个迁移"""
|
||||
"""Register a migration"""
|
||||
|
||||
def decorator(cls: typing.Type[Migration]) -> typing.Type[Migration]:
|
||||
cls.name = name
|
||||
@@ -23,7 +23,7 @@ def migration_class(name: str, number: int):
|
||||
|
||||
|
||||
class Migration(abc.ABC):
|
||||
"""一个版本的迁移"""
|
||||
"""A version migration"""
|
||||
|
||||
name: str
|
||||
|
||||
@@ -36,10 +36,10 @@ class Migration(abc.ABC):
|
||||
|
||||
@abc.abstractmethod
|
||||
async def need_migrate(self) -> bool:
|
||||
"""判断当前环境是否需要运行此迁移"""
|
||||
"""Determine if the current environment needs to run this migration"""
|
||||
pass
|
||||
|
||||
@abc.abstractmethod
|
||||
async def run(self):
|
||||
"""执行迁移"""
|
||||
"""Run migration"""
|
||||
pass
|
||||
|
||||
@@ -9,7 +9,7 @@ preregistered_notes: list[typing.Type[LaunchNote]] = []
|
||||
|
||||
|
||||
def note_class(name: str, number: int):
|
||||
"""注册一个启动信息"""
|
||||
"""Register a launch information"""
|
||||
|
||||
def decorator(cls: typing.Type[LaunchNote]) -> typing.Type[LaunchNote]:
|
||||
cls.name = name
|
||||
@@ -21,7 +21,7 @@ def note_class(name: str, number: int):
|
||||
|
||||
|
||||
class LaunchNote(abc.ABC):
|
||||
"""启动信息"""
|
||||
"""Launch information"""
|
||||
|
||||
name: str
|
||||
|
||||
@@ -34,10 +34,10 @@ class LaunchNote(abc.ABC):
|
||||
|
||||
@abc.abstractmethod
|
||||
async def need_show(self) -> bool:
|
||||
"""判断当前环境是否需要显示此启动信息"""
|
||||
"""Determine if the current environment needs to display this launch information"""
|
||||
pass
|
||||
|
||||
@abc.abstractmethod
|
||||
async def yield_note(self) -> typing.AsyncGenerator[typing.Tuple[str, int], None]:
|
||||
"""生成启动信息"""
|
||||
"""Generate launch information"""
|
||||
pass
|
||||
|
||||
@@ -7,7 +7,7 @@ from .. import note
|
||||
|
||||
@note.note_class('ClassicNotes', 1)
|
||||
class ClassicNotes(note.LaunchNote):
|
||||
"""经典启动信息"""
|
||||
"""Classic launch information"""
|
||||
|
||||
async def need_show(self) -> bool:
|
||||
return True
|
||||
|
||||
@@ -9,7 +9,7 @@ from .. import note
|
||||
|
||||
@note.note_class('SelectionModeOnWindows', 2)
|
||||
class SelectionModeOnWindows(note.LaunchNote):
|
||||
"""Windows 上的选择模式提示信息"""
|
||||
"""Selection mode prompt information on Windows"""
|
||||
|
||||
async def need_show(self) -> bool:
|
||||
return os.name == 'nt'
|
||||
@@ -19,3 +19,8 @@ class SelectionModeOnWindows(note.LaunchNote):
|
||||
"""您正在使用 Windows 系统,若窗口左上角显示处于”选择“模式,程序将被暂停运行,此时请右键窗口中空白区域退出选择模式。""",
|
||||
logging.INFO,
|
||||
)
|
||||
|
||||
yield (
|
||||
"""You are using Windows system, if the top left corner of the window displays "Selection" mode, the program will be paused running, please right-click on the blank area in the window to exit the selection mode.""",
|
||||
logging.INFO,
|
||||
)
|
||||
|
||||
@@ -7,9 +7,9 @@ from . import app
|
||||
|
||||
|
||||
preregistered_stages: dict[str, typing.Type[BootingStage]] = {}
|
||||
"""预注册的请求处理阶段。在初始化时,所有请求处理阶段类会被注册到此字典中。
|
||||
"""Pre-registered request processing stages. All request processing stage classes are registered in this dictionary during initialization.
|
||||
|
||||
当前阶段暂不支持扩展
|
||||
Currently not supported for extension
|
||||
"""
|
||||
|
||||
|
||||
@@ -22,11 +22,11 @@ def stage_class(name: str):
|
||||
|
||||
|
||||
class BootingStage(abc.ABC):
|
||||
"""启动阶段"""
|
||||
"""Booting stage"""
|
||||
|
||||
name: str = None
|
||||
|
||||
@abc.abstractmethod
|
||||
async def run(self, ap: app.Application):
|
||||
"""启动"""
|
||||
"""Run"""
|
||||
pass
|
||||
|
||||
@@ -9,6 +9,7 @@ from ...command import cmdmgr
|
||||
from ...provider.session import sessionmgr as llm_session_mgr
|
||||
from ...provider.modelmgr import modelmgr as llm_model_mgr
|
||||
from ...provider.tools import toolmgr as llm_tool_mgr
|
||||
from ...rag.knowledge import kbmgr as rag_mgr
|
||||
from ...platform import botmgr as im_mgr
|
||||
from ...persistence import mgr as persistencemgr
|
||||
from ...api.http.controller import main as http_controller
|
||||
@@ -16,18 +17,20 @@ from ...api.http.service import user as user_service
|
||||
from ...api.http.service import model as model_service
|
||||
from ...api.http.service import pipeline as pipeline_service
|
||||
from ...api.http.service import bot as bot_service
|
||||
from ...api.http.service import knowledge as knowledge_service
|
||||
from ...discover import engine as discover_engine
|
||||
from ...storage import mgr as storagemgr
|
||||
from ...utils import logcache
|
||||
from ...vector import mgr as vectordb_mgr
|
||||
from .. import taskmgr
|
||||
|
||||
|
||||
@stage.stage_class('BuildAppStage')
|
||||
class BuildAppStage(stage.BootingStage):
|
||||
"""构建应用阶段"""
|
||||
"""Build LangBot application"""
|
||||
|
||||
async def run(self, ap: app.Application):
|
||||
"""构建app对象的各个组件对象并初始化"""
|
||||
"""Build LangBot application"""
|
||||
ap.task_mgr = taskmgr.AsyncTaskManager(ap)
|
||||
|
||||
discover = discover_engine.ComponentDiscoveryEngine(ap)
|
||||
@@ -42,7 +45,7 @@ class BuildAppStage(stage.BootingStage):
|
||||
await ver_mgr.initialize()
|
||||
ap.ver_mgr = ver_mgr
|
||||
|
||||
# 发送公告
|
||||
# Send announcement
|
||||
ann_mgr = announce.AnnouncementManager(ap)
|
||||
ap.ann_mgr = ann_mgr
|
||||
|
||||
@@ -88,6 +91,15 @@ class BuildAppStage(stage.BootingStage):
|
||||
await pipeline_mgr.initialize()
|
||||
ap.pipeline_mgr = pipeline_mgr
|
||||
|
||||
rag_mgr_inst = rag_mgr.RAGManager(ap)
|
||||
await rag_mgr_inst.initialize()
|
||||
ap.rag_mgr = rag_mgr_inst
|
||||
|
||||
# 初始化向量数据库管理器
|
||||
vectordb_mgr_inst = vectordb_mgr.VectorDBManager(ap)
|
||||
await vectordb_mgr_inst.initialize()
|
||||
ap.vector_db_mgr = vectordb_mgr_inst
|
||||
|
||||
http_ctrl = http_controller.HTTPController(ap)
|
||||
await http_ctrl.initialize()
|
||||
ap.http_ctrl = http_ctrl
|
||||
@@ -95,8 +107,11 @@ class BuildAppStage(stage.BootingStage):
|
||||
user_service_inst = user_service.UserService(ap)
|
||||
ap.user_service = user_service_inst
|
||||
|
||||
model_service_inst = model_service.ModelsService(ap)
|
||||
ap.model_service = model_service_inst
|
||||
llm_model_service_inst = model_service.LLMModelsService(ap)
|
||||
ap.llm_model_service = llm_model_service_inst
|
||||
|
||||
embedding_models_service_inst = model_service.EmbeddingModelsService(ap)
|
||||
ap.embedding_models_service = embedding_models_service_inst
|
||||
|
||||
pipeline_service_inst = pipeline_service.PipelineService(ap)
|
||||
ap.pipeline_service = pipeline_service_inst
|
||||
@@ -104,5 +119,8 @@ class BuildAppStage(stage.BootingStage):
|
||||
bot_service_inst = bot_service.BotService(ap)
|
||||
ap.bot_service = bot_service_inst
|
||||
|
||||
knowledge_service_inst = knowledge_service.KnowledgeService(ap)
|
||||
ap.knowledge_service = knowledge_service_inst
|
||||
|
||||
ctrl = controller.Controller(ap)
|
||||
ap.ctrl = ctrl
|
||||
|
||||
@@ -7,11 +7,18 @@ from .. import stage, app
|
||||
|
||||
@stage.stage_class('GenKeysStage')
|
||||
class GenKeysStage(stage.BootingStage):
|
||||
"""生成密钥阶段"""
|
||||
"""Generate keys stage"""
|
||||
|
||||
async def run(self, ap: app.Application):
|
||||
"""启动"""
|
||||
"""Generate keys"""
|
||||
|
||||
if not ap.instance_config.data['system']['jwt']['secret']:
|
||||
ap.instance_config.data['system']['jwt']['secret'] = secrets.token_hex(16)
|
||||
await ap.instance_config.dump_config()
|
||||
|
||||
if 'recovery_key' not in ap.instance_config.data['system']:
|
||||
ap.instance_config.data['system']['recovery_key'] = ''
|
||||
|
||||
if not ap.instance_config.data['system']['recovery_key']:
|
||||
ap.instance_config.data['system']['recovery_key'] = secrets.token_hex(3).upper()
|
||||
await ap.instance_config.dump_config()
|
||||
|
||||
@@ -8,10 +8,10 @@ from ..bootutils import config
|
||||
|
||||
@stage.stage_class('LoadConfigStage')
|
||||
class LoadConfigStage(stage.BootingStage):
|
||||
"""加载配置文件阶段"""
|
||||
"""Load config file stage"""
|
||||
|
||||
async def run(self, ap: app.Application):
|
||||
"""启动"""
|
||||
"""Load config file"""
|
||||
|
||||
# ======= deprecated =======
|
||||
if os.path.exists('data/config/command.json'):
|
||||
|
||||
@@ -11,10 +11,13 @@ importutil.import_modules_in_pkg(migrations)
|
||||
|
||||
@stage.stage_class('MigrationStage')
|
||||
class MigrationStage(stage.BootingStage):
|
||||
"""迁移阶段"""
|
||||
"""Migration stage
|
||||
|
||||
These migrations are legacy, only performed in version 3.x
|
||||
"""
|
||||
|
||||
async def run(self, ap: app.Application):
|
||||
"""启动"""
|
||||
"""Run migration"""
|
||||
|
||||
if any(
|
||||
[
|
||||
@@ -29,7 +32,7 @@ class MigrationStage(stage.BootingStage):
|
||||
|
||||
migrations = migration.preregistered_migrations
|
||||
|
||||
# 按照迁移号排序
|
||||
# Sort by migration number
|
||||
migrations.sort(key=lambda x: x.number)
|
||||
|
||||
for migration_cls in migrations:
|
||||
@@ -37,4 +40,4 @@ class MigrationStage(stage.BootingStage):
|
||||
|
||||
if await migration_instance.need_migrate():
|
||||
await migration_instance.run()
|
||||
print(f'已执行迁移 {migration_instance.name}')
|
||||
print(f'Migration {migration_instance.name} executed')
|
||||
|
||||
@@ -8,7 +8,7 @@ from ..bootutils import log
|
||||
|
||||
class PersistenceHandler(logging.Handler, object):
|
||||
"""
|
||||
保存日志到数据库
|
||||
Save logs to database
|
||||
"""
|
||||
|
||||
ap: app.Application
|
||||
@@ -19,9 +19,9 @@ class PersistenceHandler(logging.Handler, object):
|
||||
|
||||
def emit(self, record):
|
||||
"""
|
||||
emit函数为自定义handler类时必重写的函数,这里可以根据需要对日志消息做一些处理,比如发送日志到服务器
|
||||
emit function is a required function for custom handler classes, here you can process the log messages as needed, such as sending logs to the server
|
||||
|
||||
发出记录(Emit a record)
|
||||
Emit a record
|
||||
"""
|
||||
try:
|
||||
msg = self.format(record)
|
||||
@@ -34,10 +34,10 @@ class PersistenceHandler(logging.Handler, object):
|
||||
|
||||
@stage.stage_class('SetupLoggerStage')
|
||||
class SetupLoggerStage(stage.BootingStage):
|
||||
"""设置日志器阶段"""
|
||||
"""Setup logger stage"""
|
||||
|
||||
async def run(self, ap: app.Application):
|
||||
"""启动"""
|
||||
"""Setup logger"""
|
||||
persistence_handler = PersistenceHandler('LoggerHandler', ap)
|
||||
|
||||
extra_handlers = []
|
||||
|
||||
@@ -12,10 +12,10 @@ importutil.import_modules_in_pkg(notes)
|
||||
|
||||
@stage.stage_class('ShowNotesStage')
|
||||
class ShowNotesStage(stage.BootingStage):
|
||||
"""显示启动信息阶段"""
|
||||
"""Show notes stage"""
|
||||
|
||||
async def run(self, ap: app.Application):
|
||||
# 排序
|
||||
# Sort
|
||||
note.preregistered_notes.sort(key=lambda x: x.number)
|
||||
|
||||
for note_cls in note.preregistered_notes:
|
||||
|
||||
@@ -9,13 +9,13 @@ from . import entities as core_entities
|
||||
|
||||
|
||||
class TaskContext:
|
||||
"""任务跟踪上下文"""
|
||||
"""Task tracking context"""
|
||||
|
||||
current_action: str
|
||||
"""当前正在执行的动作"""
|
||||
"""Current action being executed"""
|
||||
|
||||
log: str
|
||||
"""记录日志"""
|
||||
"""Log"""
|
||||
|
||||
def __init__(self):
|
||||
self.current_action = 'default'
|
||||
@@ -58,40 +58,40 @@ placeholder_context: TaskContext | None = None
|
||||
|
||||
|
||||
class TaskWrapper:
|
||||
"""任务包装器"""
|
||||
"""Task wrapper"""
|
||||
|
||||
_id_index: int = 0
|
||||
"""任务ID索引"""
|
||||
"""Task ID index"""
|
||||
|
||||
id: int
|
||||
"""任务ID"""
|
||||
"""Task ID"""
|
||||
|
||||
task_type: str = 'system' # 任务类型: system 或 user
|
||||
"""任务类型"""
|
||||
task_type: str = 'system' # Task type: system or user
|
||||
"""Task type"""
|
||||
|
||||
kind: str = 'system_task' # 由发起者确定任务种类,通常同质化的任务种类相同
|
||||
"""任务种类"""
|
||||
kind: str = 'system_task' # Task type determined by the initiator, usually the same task type
|
||||
"""Task type"""
|
||||
|
||||
name: str = ''
|
||||
"""任务唯一名称"""
|
||||
"""Task unique name"""
|
||||
|
||||
label: str = ''
|
||||
"""任务显示名称"""
|
||||
"""Task display name"""
|
||||
|
||||
task_context: TaskContext
|
||||
"""任务上下文"""
|
||||
"""Task context"""
|
||||
|
||||
task: asyncio.Task
|
||||
"""任务"""
|
||||
"""Task"""
|
||||
|
||||
task_stack: list = None
|
||||
"""任务堆栈"""
|
||||
"""Task stack"""
|
||||
|
||||
ap: app.Application
|
||||
"""应用实例"""
|
||||
"""Application instance"""
|
||||
|
||||
scopes: list[core_entities.LifecycleControlScope]
|
||||
"""任务所属生命周期控制范围"""
|
||||
"""Task scope"""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
@@ -165,13 +165,13 @@ class TaskWrapper:
|
||||
|
||||
|
||||
class AsyncTaskManager:
|
||||
"""保存app中的所有异步任务
|
||||
包含系统级的和用户级(插件安装、更新等由用户直接发起的)的"""
|
||||
"""Save all asynchronous tasks in the app
|
||||
Include system-level and user-level (plugin installation, update, etc. initiated by users directly)"""
|
||||
|
||||
ap: app.Application
|
||||
|
||||
tasks: list[TaskWrapper]
|
||||
"""所有任务"""
|
||||
"""All tasks"""
|
||||
|
||||
def __init__(self, ap: app.Application):
|
||||
self.ap = ap
|
||||
|
||||
@@ -4,7 +4,7 @@ from .base import Base
|
||||
|
||||
|
||||
class Bot(Base):
|
||||
"""机器人"""
|
||||
"""Bot"""
|
||||
|
||||
__tablename__ = 'bots'
|
||||
|
||||
|
||||
@@ -12,7 +12,7 @@ initial_metadata = [
|
||||
|
||||
|
||||
class Metadata(Base):
|
||||
"""数据库元数据"""
|
||||
"""Database metadata"""
|
||||
|
||||
__tablename__ = 'metadata'
|
||||
|
||||
|
||||
@@ -4,7 +4,7 @@ from .base import Base
|
||||
|
||||
|
||||
class LLMModel(Base):
|
||||
"""LLM 模型"""
|
||||
"""LLM model"""
|
||||
|
||||
__tablename__ = 'llm_models'
|
||||
|
||||
@@ -23,3 +23,24 @@ class LLMModel(Base):
|
||||
server_default=sqlalchemy.func.now(),
|
||||
onupdate=sqlalchemy.func.now(),
|
||||
)
|
||||
|
||||
|
||||
class EmbeddingModel(Base):
|
||||
"""Embedding 模型"""
|
||||
|
||||
__tablename__ = 'embedding_models'
|
||||
|
||||
uuid = sqlalchemy.Column(sqlalchemy.String(255), primary_key=True, unique=True)
|
||||
name = sqlalchemy.Column(sqlalchemy.String(255), nullable=False)
|
||||
description = sqlalchemy.Column(sqlalchemy.String(255), nullable=False)
|
||||
requester = sqlalchemy.Column(sqlalchemy.String(255), nullable=False)
|
||||
requester_config = sqlalchemy.Column(sqlalchemy.JSON, nullable=False, default={})
|
||||
api_keys = sqlalchemy.Column(sqlalchemy.JSON, nullable=False)
|
||||
extra_args = sqlalchemy.Column(sqlalchemy.JSON, nullable=False, default={})
|
||||
created_at = sqlalchemy.Column(sqlalchemy.DateTime, nullable=False, server_default=sqlalchemy.func.now())
|
||||
updated_at = sqlalchemy.Column(
|
||||
sqlalchemy.DateTime,
|
||||
nullable=False,
|
||||
server_default=sqlalchemy.func.now(),
|
||||
onupdate=sqlalchemy.func.now(),
|
||||
)
|
||||
|
||||
@@ -4,7 +4,7 @@ from .base import Base
|
||||
|
||||
|
||||
class LegacyPipeline(Base):
|
||||
"""旧版流水线"""
|
||||
"""Legacy pipeline"""
|
||||
|
||||
__tablename__ = 'legacy_pipelines'
|
||||
|
||||
@@ -20,13 +20,12 @@ class LegacyPipeline(Base):
|
||||
)
|
||||
for_version = sqlalchemy.Column(sqlalchemy.String(255), nullable=False)
|
||||
is_default = sqlalchemy.Column(sqlalchemy.Boolean, nullable=False, default=False)
|
||||
|
||||
stages = sqlalchemy.Column(sqlalchemy.JSON, nullable=False)
|
||||
config = sqlalchemy.Column(sqlalchemy.JSON, nullable=False)
|
||||
|
||||
|
||||
class PipelineRunRecord(Base):
|
||||
"""流水线运行记录"""
|
||||
"""Pipeline run record"""
|
||||
|
||||
__tablename__ = 'pipeline_run_records'
|
||||
|
||||
@@ -43,3 +42,4 @@ class PipelineRunRecord(Base):
|
||||
started_at = sqlalchemy.Column(sqlalchemy.DateTime, nullable=False)
|
||||
finished_at = sqlalchemy.Column(sqlalchemy.DateTime, nullable=False)
|
||||
result = sqlalchemy.Column(sqlalchemy.JSON, nullable=False)
|
||||
knowledge_base_uuid = sqlalchemy.Column(sqlalchemy.String(255), nullable=True)
|
||||
|
||||
@@ -4,7 +4,7 @@ from .base import Base
|
||||
|
||||
|
||||
class PluginSetting(Base):
|
||||
"""插件配置"""
|
||||
"""Plugin setting"""
|
||||
|
||||
__tablename__ = 'plugin_settings'
|
||||
|
||||
|
||||
50
pkg/entity/persistence/rag.py
Normal file
50
pkg/entity/persistence/rag.py
Normal file
@@ -0,0 +1,50 @@
|
||||
import sqlalchemy
|
||||
from .base import Base
|
||||
|
||||
# Base = declarative_base()
|
||||
# DATABASE_URL = os.getenv('DATABASE_URL', 'sqlite:///./rag_knowledge.db')
|
||||
# print("Using database URL:", DATABASE_URL)
|
||||
|
||||
|
||||
# engine = create_engine(DATABASE_URL, connect_args={'check_same_thread': False})
|
||||
|
||||
# SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
|
||||
|
||||
# def create_db_and_tables():
|
||||
# """Creates all database tables defined in the Base."""
|
||||
# Base.metadata.create_all(bind=engine)
|
||||
# print('Database tables created or already exist.')
|
||||
|
||||
|
||||
class KnowledgeBase(Base):
|
||||
__tablename__ = 'knowledge_bases'
|
||||
uuid = sqlalchemy.Column(sqlalchemy.String(255), primary_key=True, unique=True)
|
||||
name = sqlalchemy.Column(sqlalchemy.String, index=True)
|
||||
description = sqlalchemy.Column(sqlalchemy.Text)
|
||||
created_at = sqlalchemy.Column(sqlalchemy.DateTime, default=sqlalchemy.func.now())
|
||||
embedding_model_uuid = sqlalchemy.Column(sqlalchemy.String, default='')
|
||||
top_k = sqlalchemy.Column(sqlalchemy.Integer, default=5)
|
||||
|
||||
|
||||
class File(Base):
|
||||
__tablename__ = 'knowledge_base_files'
|
||||
uuid = sqlalchemy.Column(sqlalchemy.String(255), primary_key=True, unique=True)
|
||||
kb_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True)
|
||||
file_name = sqlalchemy.Column(sqlalchemy.String)
|
||||
extension = sqlalchemy.Column(sqlalchemy.String)
|
||||
created_at = sqlalchemy.Column(sqlalchemy.DateTime, default=sqlalchemy.func.now())
|
||||
status = sqlalchemy.Column(sqlalchemy.String, default='pending') # pending, processing, completed, failed
|
||||
|
||||
|
||||
class Chunk(Base):
|
||||
__tablename__ = 'knowledge_base_chunks'
|
||||
uuid = sqlalchemy.Column(sqlalchemy.String(255), primary_key=True, unique=True)
|
||||
file_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True)
|
||||
text = sqlalchemy.Column(sqlalchemy.Text)
|
||||
|
||||
|
||||
# class Vector(Base):
|
||||
# __tablename__ = 'knowledge_base_vectors'
|
||||
# uuid = sqlalchemy.Column(sqlalchemy.String(255), primary_key=True, unique=True)
|
||||
# chunk_id = sqlalchemy.Column(sqlalchemy.String, nullable=True)
|
||||
# embedding = sqlalchemy.Column(sqlalchemy.LargeBinary)
|
||||
13
pkg/entity/persistence/vector.py
Normal file
13
pkg/entity/persistence/vector.py
Normal file
@@ -0,0 +1,13 @@
|
||||
from sqlalchemy import Column, Integer, ForeignKey, LargeBinary
|
||||
from sqlalchemy.orm import declarative_base, relationship
|
||||
|
||||
Base = declarative_base()
|
||||
|
||||
|
||||
class Vector(Base):
|
||||
__tablename__ = 'vectors'
|
||||
id = Column(Integer, primary_key=True, index=True)
|
||||
chunk_id = Column(Integer, ForeignKey('chunks.id'), unique=True)
|
||||
embedding = Column(LargeBinary) # Store embeddings as binary
|
||||
|
||||
chunk = relationship('Chunk', back_populates='vector')
|
||||
0
pkg/entity/rag/__init__.py
Normal file
0
pkg/entity/rag/__init__.py
Normal file
13
pkg/entity/rag/retriever.py
Normal file
13
pkg/entity/rag/retriever.py
Normal file
@@ -0,0 +1,13 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import pydantic
|
||||
|
||||
from typing import Any
|
||||
|
||||
|
||||
class RetrieveResultEntry(pydantic.BaseModel):
|
||||
id: str
|
||||
|
||||
metadata: dict[str, Any]
|
||||
|
||||
distance: float
|
||||
@@ -11,7 +11,7 @@ preregistered_managers: list[type[BaseDatabaseManager]] = []
|
||||
|
||||
|
||||
def manager_class(name: str) -> None:
|
||||
"""注册一个数据库管理类"""
|
||||
"""Register a database manager class"""
|
||||
|
||||
def decorator(cls: type[BaseDatabaseManager]) -> type[BaseDatabaseManager]:
|
||||
cls.name = name
|
||||
@@ -22,7 +22,7 @@ def manager_class(name: str) -> None:
|
||||
|
||||
|
||||
class BaseDatabaseManager(abc.ABC):
|
||||
"""基础数据库管理类"""
|
||||
"""Base database manager class"""
|
||||
|
||||
name: str
|
||||
|
||||
|
||||
@@ -7,7 +7,7 @@ from .. import database
|
||||
|
||||
@database.manager_class('sqlite')
|
||||
class SQLiteDatabaseManager(database.BaseDatabaseManager):
|
||||
"""SQLite 数据库管理类"""
|
||||
"""SQLite database manager"""
|
||||
|
||||
async def initialize(self) -> None:
|
||||
sqlite_path = 'data/langbot.db'
|
||||
|
||||
@@ -22,12 +22,12 @@ importutil.import_modules_in_pkg(persistence)
|
||||
|
||||
|
||||
class PersistenceManager:
|
||||
"""持久化模块管理器"""
|
||||
"""Persistence module manager"""
|
||||
|
||||
ap: app.Application
|
||||
|
||||
db: database.BaseDatabaseManager
|
||||
"""数据库管理器"""
|
||||
"""Database manager"""
|
||||
|
||||
meta: sqlalchemy.MetaData
|
||||
|
||||
@@ -79,7 +79,7 @@ class PersistenceManager:
|
||||
'stages': pipeline_service.default_stage_order,
|
||||
'is_default': True,
|
||||
'name': 'ChatPipeline',
|
||||
'description': '默认提供的流水线,您配置的机器人、第一个模型将自动绑定到此流水线',
|
||||
'description': 'Default pipeline, new bots will be bound to this pipeline | 默认提供的流水线,您配置的机器人将自动绑定到此流水线',
|
||||
'config': pipeline_config,
|
||||
}
|
||||
|
||||
|
||||
@@ -10,7 +10,7 @@ preregistered_db_migrations: list[typing.Type[DBMigration]] = []
|
||||
|
||||
|
||||
def migration_class(number: int):
|
||||
"""迁移类装饰器"""
|
||||
"""Migration class decorator"""
|
||||
|
||||
def wrapper(cls: typing.Type[DBMigration]) -> typing.Type[DBMigration]:
|
||||
cls.number = number
|
||||
@@ -21,20 +21,20 @@ def migration_class(number: int):
|
||||
|
||||
|
||||
class DBMigration(abc.ABC):
|
||||
"""数据库迁移"""
|
||||
"""Database migration"""
|
||||
|
||||
number: int
|
||||
"""迁移号"""
|
||||
"""Migration number"""
|
||||
|
||||
def __init__(self, ap: app.Application):
|
||||
self.ap = ap
|
||||
|
||||
@abc.abstractmethod
|
||||
async def upgrade(self):
|
||||
"""升级"""
|
||||
"""Upgrade"""
|
||||
pass
|
||||
|
||||
@abc.abstractmethod
|
||||
async def downgrade(self):
|
||||
"""降级"""
|
||||
"""Downgrade"""
|
||||
pass
|
||||
|
||||
@@ -15,21 +15,21 @@ from ...entity.persistence import (
|
||||
|
||||
@migration.migration_class(1)
|
||||
class DBMigrateV3Config(migration.DBMigration):
|
||||
"""从 v3 的配置迁移到 v4 的数据库"""
|
||||
"""Migrate v3 config to v4 database"""
|
||||
|
||||
async def upgrade(self):
|
||||
"""升级"""
|
||||
"""Upgrade"""
|
||||
"""
|
||||
将 data/config 下的所有配置文件进行迁移。
|
||||
迁移后,之前的配置文件都保存到 data/legacy/config 下。
|
||||
迁移后,data/metadata/ 下的所有配置文件都保存到 data/legacy/metadata 下。
|
||||
Migrate all config files under data/config.
|
||||
After migration, all previous config files are saved under data/legacy/config.
|
||||
After migration, all config files under data/metadata/ are saved under data/legacy/metadata.
|
||||
"""
|
||||
|
||||
if self.ap.provider_cfg is None:
|
||||
return
|
||||
|
||||
# ======= 迁移模型 =======
|
||||
# 只迁移当前选中的模型
|
||||
# ======= Migrate model =======
|
||||
# Only migrate the currently selected model
|
||||
model_name = self.ap.provider_cfg.data.get('model', 'gpt-4o')
|
||||
|
||||
model_requester = 'openai-chat-completions'
|
||||
@@ -91,8 +91,8 @@ class DBMigrateV3Config(migration.DBMigration):
|
||||
sqlalchemy.insert(persistence_model.LLMModel).values(**llm_model_data)
|
||||
)
|
||||
|
||||
# ======= 迁移流水线配置 =======
|
||||
# 修改到默认流水线
|
||||
# ======= Migrate pipeline config =======
|
||||
# Modify to default pipeline
|
||||
default_pipeline = [
|
||||
self.ap.persistence_mgr.serialize_model(persistence_pipeline.LegacyPipeline, pipeline)
|
||||
for pipeline in (
|
||||
@@ -184,8 +184,8 @@ class DBMigrateV3Config(migration.DBMigration):
|
||||
.where(persistence_pipeline.LegacyPipeline.uuid == default_pipeline['uuid'])
|
||||
)
|
||||
|
||||
# ======= 迁移机器人 =======
|
||||
# 只迁移启用的机器人
|
||||
# ======= Migrate bot =======
|
||||
# Only migrate enabled bots
|
||||
for adapter in self.ap.platform_cfg.data.get('platform-adapters', []):
|
||||
if not adapter.get('enable'):
|
||||
continue
|
||||
@@ -207,7 +207,7 @@ class DBMigrateV3Config(migration.DBMigration):
|
||||
|
||||
await self.ap.persistence_mgr.execute_async(sqlalchemy.insert(persistence_bot.Bot).values(**bot_data))
|
||||
|
||||
# ======= 迁移系统设置 =======
|
||||
# ======= Migrate system settings =======
|
||||
self.ap.instance_config.data['admins'] = self.ap.system_cfg.data['admin-sessions']
|
||||
self.ap.instance_config.data['api']['port'] = self.ap.system_cfg.data['http-api']['port']
|
||||
self.ap.instance_config.data['command'] = {
|
||||
@@ -223,7 +223,7 @@ class DBMigrateV3Config(migration.DBMigration):
|
||||
await self.ap.instance_config.dump_config()
|
||||
|
||||
# ======= move files =======
|
||||
# 迁移 data/config 下的所有配置文件
|
||||
# Migrate all config files under data/config
|
||||
all_legacy_dir_name = [
|
||||
'config',
|
||||
# 'metadata',
|
||||
@@ -246,4 +246,4 @@ class DBMigrateV3Config(migration.DBMigration):
|
||||
move_legacy_files(dir_name)
|
||||
|
||||
async def downgrade(self):
|
||||
"""降级"""
|
||||
"""Downgrade"""
|
||||
|
||||
@@ -7,10 +7,10 @@ from ...entity.persistence import pipeline as persistence_pipeline
|
||||
|
||||
@migration.migration_class(2)
|
||||
class DBMigrateCombineQuoteMsgConfig(migration.DBMigration):
|
||||
"""引用消息合并配置"""
|
||||
"""Combine quote message config"""
|
||||
|
||||
async def upgrade(self):
|
||||
"""升级"""
|
||||
"""Upgrade"""
|
||||
# read all pipelines
|
||||
pipelines = await self.ap.persistence_mgr.execute_async(sqlalchemy.select(persistence_pipeline.LegacyPipeline))
|
||||
|
||||
@@ -37,5 +37,5 @@ class DBMigrateCombineQuoteMsgConfig(migration.DBMigration):
|
||||
)
|
||||
|
||||
async def downgrade(self):
|
||||
"""降级"""
|
||||
"""Downgrade"""
|
||||
pass
|
||||
|
||||
@@ -7,10 +7,10 @@ from ...entity.persistence import pipeline as persistence_pipeline
|
||||
|
||||
@migration.migration_class(3)
|
||||
class DBMigrateN8nConfig(migration.DBMigration):
|
||||
"""N8n配置"""
|
||||
"""N8n config"""
|
||||
|
||||
async def upgrade(self):
|
||||
"""升级"""
|
||||
"""Upgrade"""
|
||||
# read all pipelines
|
||||
pipelines = await self.ap.persistence_mgr.execute_async(sqlalchemy.select(persistence_pipeline.LegacyPipeline))
|
||||
|
||||
@@ -45,5 +45,5 @@ class DBMigrateN8nConfig(migration.DBMigration):
|
||||
)
|
||||
|
||||
async def downgrade(self):
|
||||
"""降级"""
|
||||
"""Downgrade"""
|
||||
pass
|
||||
|
||||
38
pkg/persistence/migrations/dbm004_rag_kb_uuid.py
Normal file
38
pkg/persistence/migrations/dbm004_rag_kb_uuid.py
Normal file
@@ -0,0 +1,38 @@
|
||||
from .. import migration
|
||||
|
||||
import sqlalchemy
|
||||
|
||||
from ...entity.persistence import pipeline as persistence_pipeline
|
||||
|
||||
|
||||
@migration.migration_class(4)
|
||||
class DBMigrateRAGKBUUID(migration.DBMigration):
|
||||
"""RAG知识库UUID"""
|
||||
|
||||
async def upgrade(self):
|
||||
"""升级"""
|
||||
# read all pipelines
|
||||
pipelines = await self.ap.persistence_mgr.execute_async(sqlalchemy.select(persistence_pipeline.LegacyPipeline))
|
||||
|
||||
for pipeline in pipelines:
|
||||
serialized_pipeline = self.ap.persistence_mgr.serialize_model(persistence_pipeline.LegacyPipeline, pipeline)
|
||||
|
||||
config = serialized_pipeline['config']
|
||||
|
||||
if 'knowledge-base' not in config['ai']['local-agent']:
|
||||
config['ai']['local-agent']['knowledge-base'] = ''
|
||||
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.update(persistence_pipeline.LegacyPipeline)
|
||||
.where(persistence_pipeline.LegacyPipeline.uuid == serialized_pipeline['uuid'])
|
||||
.values(
|
||||
{
|
||||
'config': config,
|
||||
'for_version': self.ap.ver_mgr.get_current_version(),
|
||||
}
|
||||
)
|
||||
)
|
||||
|
||||
async def downgrade(self):
|
||||
"""降级"""
|
||||
pass
|
||||
@@ -0,0 +1,38 @@
|
||||
from .. import migration
|
||||
|
||||
import sqlalchemy
|
||||
|
||||
from ...entity.persistence import pipeline as persistence_pipeline
|
||||
|
||||
|
||||
@migration.migration_class(5)
|
||||
class DBMigratePipelineRemoveCotConfig(migration.DBMigration):
|
||||
"""Pipeline remove cot config"""
|
||||
|
||||
async def upgrade(self):
|
||||
"""Upgrade"""
|
||||
# read all pipelines
|
||||
pipelines = await self.ap.persistence_mgr.execute_async(sqlalchemy.select(persistence_pipeline.LegacyPipeline))
|
||||
|
||||
for pipeline in pipelines:
|
||||
serialized_pipeline = self.ap.persistence_mgr.serialize_model(persistence_pipeline.LegacyPipeline, pipeline)
|
||||
|
||||
config = serialized_pipeline['config']
|
||||
|
||||
if 'remove-think' not in config['output']['misc']:
|
||||
config['output']['misc']['remove-think'] = False
|
||||
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.update(persistence_pipeline.LegacyPipeline)
|
||||
.where(persistence_pipeline.LegacyPipeline.uuid == serialized_pipeline['uuid'])
|
||||
.values(
|
||||
{
|
||||
'config': config,
|
||||
'for_version': self.ap.ver_mgr.get_current_version(),
|
||||
}
|
||||
)
|
||||
)
|
||||
|
||||
async def downgrade(self):
|
||||
"""Downgrade"""
|
||||
pass
|
||||
@@ -6,9 +6,9 @@ from ...core import entities as core_entities
|
||||
|
||||
@stage.stage_class('BanSessionCheckStage')
|
||||
class BanSessionCheckStage(stage.PipelineStage):
|
||||
"""访问控制处理阶段
|
||||
"""Access control processing stage
|
||||
|
||||
仅检查query中群号或个人号是否在访问控制列表中。
|
||||
Only check if the group or personal number in the query is in the access control list.
|
||||
"""
|
||||
|
||||
async def initialize(self, pipeline_config: dict):
|
||||
@@ -41,5 +41,7 @@ class BanSessionCheckStage(stage.PipelineStage):
|
||||
return entities.StageProcessResult(
|
||||
result_type=entities.ResultType.CONTINUE if ctn else entities.ResultType.INTERRUPT,
|
||||
new_query=query,
|
||||
console_notice=f'根据访问控制忽略消息: {query.launcher_type.value}_{query.launcher_id}' if not ctn else '',
|
||||
console_notice=f'Ignore message according to access control: {query.launcher_type.value}_{query.launcher_id}'
|
||||
if not ctn
|
||||
else '',
|
||||
)
|
||||
|
||||
@@ -67,7 +67,7 @@ class ContentFilterStage(stage.PipelineStage):
|
||||
if query.pipeline_config['safety']['content-filter']['scope'] == 'output-msg':
|
||||
return entities.StageProcessResult(result_type=entities.ResultType.CONTINUE, new_query=query)
|
||||
if not message.strip():
|
||||
return entities.StageProcessResult(result_type=entities.ResultType.CONTINUE, new_query=query)
|
||||
return entities.StageProcessResult(result_type=entities.ResultType.CONTINUE, new_query=query)
|
||||
else:
|
||||
for filter in self.filter_chain:
|
||||
if filter_entities.EnableStage.PRE in filter.enable_stages:
|
||||
|
||||
@@ -13,13 +13,13 @@ preregistered_filters: list[typing.Type[ContentFilter]] = []
|
||||
def filter_class(
|
||||
name: str,
|
||||
) -> typing.Callable[[typing.Type[ContentFilter]], typing.Type[ContentFilter]]:
|
||||
"""内容过滤器类装饰器
|
||||
"""Content filter class decorator
|
||||
|
||||
Args:
|
||||
name (str): 过滤器名称
|
||||
name (str): Filter name
|
||||
|
||||
Returns:
|
||||
typing.Callable[[typing.Type[ContentFilter]], typing.Type[ContentFilter]]: 装饰器
|
||||
typing.Callable[[typing.Type[ContentFilter]], typing.Type[ContentFilter]]: Decorator
|
||||
"""
|
||||
|
||||
def decorator(cls: typing.Type[ContentFilter]) -> typing.Type[ContentFilter]:
|
||||
@@ -35,7 +35,7 @@ def filter_class(
|
||||
|
||||
|
||||
class ContentFilter(metaclass=abc.ABCMeta):
|
||||
"""内容过滤器抽象类"""
|
||||
"""Content filter abstract class"""
|
||||
|
||||
name: str
|
||||
|
||||
@@ -46,31 +46,31 @@ class ContentFilter(metaclass=abc.ABCMeta):
|
||||
|
||||
@property
|
||||
def enable_stages(self):
|
||||
"""启用的阶段
|
||||
"""Enabled stages
|
||||
|
||||
默认为消息请求AI前后的两个阶段。
|
||||
Default is the two stages before and after the message request to AI.
|
||||
|
||||
entity.EnableStage.PRE: 消息请求AI前,此时需要检查的内容是用户的输入消息。
|
||||
entity.EnableStage.POST: 消息请求AI后,此时需要检查的内容是AI的回复消息。
|
||||
entity.EnableStage.PRE: Before message request to AI, the content to check is the user's input message.
|
||||
entity.EnableStage.POST: After message request to AI, the content to check is the AI's reply message.
|
||||
"""
|
||||
return [entities.EnableStage.PRE, entities.EnableStage.POST]
|
||||
|
||||
async def initialize(self):
|
||||
"""初始化过滤器"""
|
||||
"""Initialize filter"""
|
||||
pass
|
||||
|
||||
@abc.abstractmethod
|
||||
async def process(self, query: core_entities.Query, message: str = None, image_url=None) -> entities.FilterResult:
|
||||
"""处理消息
|
||||
"""Process message
|
||||
|
||||
分为前后阶段,具体取决于 enable_stages 的值。
|
||||
对于内容过滤器来说,不需要考虑消息所处的阶段,只需要检查消息内容即可。
|
||||
It is divided into two stages, depending on the value of enable_stages.
|
||||
For content filters, you do not need to consider the stage of the message, you only need to check the message content.
|
||||
|
||||
Args:
|
||||
message (str): 需要检查的内容
|
||||
image_url (str): 要检查的图片的 URL
|
||||
message (str): Content to check
|
||||
image_url (str): URL of the image to check
|
||||
|
||||
Returns:
|
||||
entities.FilterResult: 过滤结果,具体内容请查看 entities.FilterResult 类的文档
|
||||
entities.FilterResult: Filter result, please refer to the documentation of entities.FilterResult class
|
||||
"""
|
||||
raise NotImplementedError
|
||||
|
||||
@@ -8,7 +8,7 @@ from ....core import entities as core_entities
|
||||
|
||||
@filter_model.filter_class('ban-word-filter')
|
||||
class BanWordFilter(filter_model.ContentFilter):
|
||||
"""根据内容过滤"""
|
||||
"""Filter content"""
|
||||
|
||||
async def initialize(self):
|
||||
pass
|
||||
|
||||
@@ -8,7 +8,7 @@ from ....core import entities as core_entities
|
||||
|
||||
@filter_model.filter_class('content-ignore')
|
||||
class ContentIgnore(filter_model.ContentFilter):
|
||||
"""根据内容忽略消息"""
|
||||
"""Ignore message according to content"""
|
||||
|
||||
@property
|
||||
def enable_stages(self):
|
||||
@@ -24,7 +24,7 @@ class ContentIgnore(filter_model.ContentFilter):
|
||||
level=entities.ResultLevel.BLOCK,
|
||||
replacement='',
|
||||
user_notice='',
|
||||
console_notice='根据 ignore_rules 中的 prefix 规则,忽略消息',
|
||||
console_notice='Ignore message according to prefix rule in ignore_rules',
|
||||
)
|
||||
|
||||
if 'regexp' in query.pipeline_config['trigger']['ignore-rules']:
|
||||
@@ -34,7 +34,7 @@ class ContentIgnore(filter_model.ContentFilter):
|
||||
level=entities.ResultLevel.BLOCK,
|
||||
replacement='',
|
||||
user_notice='',
|
||||
console_notice='根据 ignore_rules 中的 regexp 规则,忽略消息',
|
||||
console_notice='Ignore message according to regexp rule in ignore_rules',
|
||||
)
|
||||
|
||||
return entities.FilterResult(
|
||||
|
||||
@@ -16,9 +16,9 @@ importutil.import_modules_in_pkg(strategies)
|
||||
|
||||
@stage.stage_class('LongTextProcessStage')
|
||||
class LongTextProcessStage(stage.PipelineStage):
|
||||
"""长消息处理阶段
|
||||
"""Long message processing stage
|
||||
|
||||
改写:
|
||||
Rewrite:
|
||||
- resp_message_chain
|
||||
"""
|
||||
|
||||
@@ -36,22 +36,22 @@ class LongTextProcessStage(stage.PipelineStage):
|
||||
use_font = 'C:/Windows/Fonts/msyh.ttc'
|
||||
if not os.path.exists(use_font):
|
||||
self.ap.logger.warn(
|
||||
'未找到字体文件,且无法使用Windows自带字体,更换为转发消息组件以发送长消息,您可以在配置文件中调整相关设置。'
|
||||
'Font file not found, and Windows system font cannot be used, switch to forward message component to send long messages, you can adjust the related settings in the configuration file.'
|
||||
)
|
||||
config['blob_message_strategy'] = 'forward'
|
||||
else:
|
||||
self.ap.logger.info('使用Windows自带字体:' + use_font)
|
||||
self.ap.logger.info('Using Windows system font: ' + use_font)
|
||||
config['font-path'] = use_font
|
||||
else:
|
||||
self.ap.logger.warn(
|
||||
'未找到字体文件,且无法使用系统自带字体,更换为转发消息组件以发送长消息,您可以在配置文件中调整相关设置。'
|
||||
'Font file not found, and system font cannot be used, switch to forward message component to send long messages, you can adjust the related settings in the configuration file.'
|
||||
)
|
||||
|
||||
pipeline_config['output']['long-text-processing']['strategy'] = 'forward'
|
||||
except Exception:
|
||||
traceback.print_exc()
|
||||
self.ap.logger.error(
|
||||
'加载字体文件失败({}),更换为转发消息组件以发送长消息,您可以在配置文件中调整相关设置。'.format(
|
||||
'Failed to load font file ({}), switch to forward message component to send long messages, you can adjust the related settings in the configuration file.'.format(
|
||||
use_font
|
||||
)
|
||||
)
|
||||
@@ -63,12 +63,12 @@ class LongTextProcessStage(stage.PipelineStage):
|
||||
self.strategy_impl = strategy_cls(self.ap)
|
||||
break
|
||||
else:
|
||||
raise ValueError(f'未找到名为 {config["strategy"]} 的长消息处理策略')
|
||||
raise ValueError(f'Long message processing strategy not found: {config["strategy"]}')
|
||||
|
||||
await self.strategy_impl.initialize()
|
||||
|
||||
async def process(self, query: core_entities.Query, stage_inst_name: str) -> entities.StageProcessResult:
|
||||
# 检查是否包含非 Plain 组件
|
||||
# Check if it contains non-Plain components
|
||||
contains_non_plain = False
|
||||
|
||||
for msg in query.resp_message_chain[-1]:
|
||||
@@ -77,7 +77,7 @@ class LongTextProcessStage(stage.PipelineStage):
|
||||
break
|
||||
|
||||
if contains_non_plain:
|
||||
self.ap.logger.debug('消息中包含非 Plain 组件,跳过长消息处理。')
|
||||
self.ap.logger.debug('Message contains non-Plain components, skip long message processing.')
|
||||
elif (
|
||||
len(str(query.resp_message_chain[-1]))
|
||||
> query.pipeline_config['output']['long-text-processing']['threshold']
|
||||
|
||||
@@ -15,17 +15,17 @@ Forward = platform_message.Forward
|
||||
class ForwardComponentStrategy(strategy_model.LongTextStrategy):
|
||||
async def process(self, message: str, query: core_entities.Query) -> list[platform_message.MessageComponent]:
|
||||
display = ForwardMessageDiaplay(
|
||||
title='群聊的聊天记录',
|
||||
brief='[聊天记录]',
|
||||
source='聊天记录',
|
||||
preview=['QQ用户: ' + message],
|
||||
summary='查看1条转发消息',
|
||||
title='Group chat history',
|
||||
brief='[Chat history]',
|
||||
source='Chat history',
|
||||
preview=['User: ' + message],
|
||||
summary='View 1 forwarded message',
|
||||
)
|
||||
|
||||
node_list = [
|
||||
platform_message.ForwardMessageNode(
|
||||
sender_id=query.adapter.bot_account_id,
|
||||
sender_name='QQ用户',
|
||||
sender_name='User',
|
||||
message_chain=platform_message.MessageChain([message]),
|
||||
)
|
||||
]
|
||||
|
||||
@@ -14,13 +14,13 @@ preregistered_strategies: list[typing.Type[LongTextStrategy]] = []
|
||||
def strategy_class(
|
||||
name: str,
|
||||
) -> typing.Callable[[typing.Type[LongTextStrategy]], typing.Type[LongTextStrategy]]:
|
||||
"""长文本处理策略类装饰器
|
||||
"""Long text processing strategy class decorator
|
||||
|
||||
Args:
|
||||
name (str): 策略名称
|
||||
name (str): Strategy name
|
||||
|
||||
Returns:
|
||||
typing.Callable[[typing.Type[LongTextStrategy]], typing.Type[LongTextStrategy]]: 装饰器
|
||||
typing.Callable[[typing.Type[LongTextStrategy]], typing.Type[LongTextStrategy]]: Decorator
|
||||
"""
|
||||
|
||||
def decorator(cls: typing.Type[LongTextStrategy]) -> typing.Type[LongTextStrategy]:
|
||||
@@ -36,7 +36,7 @@ def strategy_class(
|
||||
|
||||
|
||||
class LongTextStrategy(metaclass=abc.ABCMeta):
|
||||
"""长文本处理策略抽象类"""
|
||||
"""Long text processing strategy abstract class"""
|
||||
|
||||
name: str
|
||||
|
||||
@@ -50,15 +50,15 @@ class LongTextStrategy(metaclass=abc.ABCMeta):
|
||||
|
||||
@abc.abstractmethod
|
||||
async def process(self, message: str, query: core_entities.Query) -> list[platform_message.MessageComponent]:
|
||||
"""处理长文本
|
||||
"""Process long text
|
||||
|
||||
在 platform.json 中配置 long-text-process 字段,只要 文本长度超过了 threshold 就会调用此方法
|
||||
If the text length exceeds the threshold, this method will be called.
|
||||
|
||||
Args:
|
||||
message (str): 消息
|
||||
query (core_entities.Query): 此次请求的上下文对象
|
||||
message (str): Message
|
||||
query (core_entities.Query): Query object
|
||||
|
||||
Returns:
|
||||
list[platform_message.MessageComponent]: 转换后的 平台 消息组件列表
|
||||
list[platform_message.MessageComponent]: Converted platform message components
|
||||
"""
|
||||
return []
|
||||
|
||||
@@ -12,9 +12,9 @@ importutil.import_modules_in_pkg(truncators)
|
||||
|
||||
@stage.stage_class('ConversationMessageTruncator')
|
||||
class ConversationMessageTruncator(stage.PipelineStage):
|
||||
"""会话消息截断器
|
||||
"""Conversation message truncator
|
||||
|
||||
用于截断会话消息链,以适应平台消息长度限制。
|
||||
Used to truncate the conversation message chain to adapt to the LLM message length limit.
|
||||
"""
|
||||
|
||||
trun: truncator.Truncator
|
||||
@@ -27,10 +27,10 @@ class ConversationMessageTruncator(stage.PipelineStage):
|
||||
self.trun = trun(self.ap)
|
||||
break
|
||||
else:
|
||||
raise ValueError(f'未知的截断器: {use_method}')
|
||||
raise ValueError(f'Unknown truncator: {use_method}')
|
||||
|
||||
async def process(self, query: core_entities.Query, stage_inst_name: str) -> entities.StageProcessResult:
|
||||
"""处理"""
|
||||
"""Process"""
|
||||
query = await self.trun.truncate(query)
|
||||
|
||||
return entities.StageProcessResult(result_type=entities.ResultType.CONTINUE, new_query=query)
|
||||
|
||||
@@ -6,17 +6,17 @@ from ....core import entities as core_entities
|
||||
|
||||
@truncator.truncator_class('round')
|
||||
class RoundTruncator(truncator.Truncator):
|
||||
"""前文回合数阶段器"""
|
||||
"""Truncate the conversation message chain to adapt to the LLM message length limit."""
|
||||
|
||||
async def truncate(self, query: core_entities.Query) -> core_entities.Query:
|
||||
"""截断"""
|
||||
"""Truncate"""
|
||||
max_round = query.pipeline_config['ai']['local-agent']['max-round']
|
||||
|
||||
temp_messages = []
|
||||
|
||||
current_round = 0
|
||||
|
||||
# 从后往前遍历
|
||||
# Traverse from back to front
|
||||
for msg in query.messages[::-1]:
|
||||
if current_round < max_round:
|
||||
temp_messages.append(msg)
|
||||
|
||||
@@ -93,12 +93,20 @@ class RuntimePipeline:
|
||||
query.message_event, platform_events.GroupMessage
|
||||
):
|
||||
result.user_notice.insert(0, platform_message.At(query.message_event.sender.id))
|
||||
|
||||
await query.adapter.reply_message(
|
||||
message_source=query.message_event,
|
||||
message=result.user_notice,
|
||||
quote_origin=query.pipeline_config['output']['misc']['quote-origin'],
|
||||
)
|
||||
if await query.adapter.is_stream_output_supported():
|
||||
await query.adapter.reply_message_chunk(
|
||||
message_source=query.message_event,
|
||||
bot_message=query.resp_messages[-1],
|
||||
message=result.user_notice,
|
||||
quote_origin=query.pipeline_config['output']['misc']['quote-origin'],
|
||||
is_final=[msg.is_final for msg in query.resp_messages][0]
|
||||
)
|
||||
else:
|
||||
await query.adapter.reply_message(
|
||||
message_source=query.message_event,
|
||||
message=result.user_notice,
|
||||
quote_origin=query.pipeline_config['output']['misc']['quote-origin'],
|
||||
)
|
||||
if result.debug_notice:
|
||||
self.ap.logger.debug(result.debug_notice)
|
||||
if result.console_notice:
|
||||
@@ -144,23 +152,27 @@ class RuntimePipeline:
|
||||
result = await result
|
||||
|
||||
if isinstance(result, pipeline_entities.StageProcessResult): # 直接返回结果
|
||||
self.ap.logger.debug(f'Stage {stage_container.inst_name} processed query {query} res {result}')
|
||||
self.ap.logger.debug(
|
||||
f'Stage {stage_container.inst_name} processed query {query.query_id} res {result.result_type}'
|
||||
)
|
||||
await self._check_output(query, result)
|
||||
|
||||
if result.result_type == pipeline_entities.ResultType.INTERRUPT:
|
||||
self.ap.logger.debug(f'Stage {stage_container.inst_name} interrupted query {query}')
|
||||
self.ap.logger.debug(f'Stage {stage_container.inst_name} interrupted query {query.query_id}')
|
||||
break
|
||||
elif result.result_type == pipeline_entities.ResultType.CONTINUE:
|
||||
query = result.new_query
|
||||
elif isinstance(result, typing.AsyncGenerator): # 生成器
|
||||
self.ap.logger.debug(f'Stage {stage_container.inst_name} processed query {query} gen')
|
||||
self.ap.logger.debug(f'Stage {stage_container.inst_name} processed query {query.query_id} gen')
|
||||
|
||||
async for sub_result in result:
|
||||
self.ap.logger.debug(f'Stage {stage_container.inst_name} processed query {query} res {sub_result}')
|
||||
self.ap.logger.debug(
|
||||
f'Stage {stage_container.inst_name} processed query {query.query_id} res {sub_result.result_type}'
|
||||
)
|
||||
await self._check_output(query, sub_result)
|
||||
|
||||
if sub_result.result_type == pipeline_entities.ResultType.INTERRUPT:
|
||||
self.ap.logger.debug(f'Stage {stage_container.inst_name} interrupted query {query}')
|
||||
self.ap.logger.debug(f'Stage {stage_container.inst_name} interrupted query {query.query_id}')
|
||||
break
|
||||
elif sub_result.result_type == pipeline_entities.ResultType.CONTINUE:
|
||||
query = sub_result.new_query
|
||||
@@ -192,7 +204,7 @@ class RuntimePipeline:
|
||||
if event_ctx.is_prevented_default():
|
||||
return
|
||||
|
||||
self.ap.logger.debug(f'Processing query {query}')
|
||||
self.ap.logger.debug(f'Processing query {query.query_id}')
|
||||
|
||||
await self._execute_from_stage(0, query)
|
||||
except Exception as e:
|
||||
@@ -200,7 +212,7 @@ class RuntimePipeline:
|
||||
self.ap.logger.error(f'处理请求时出错 query_id={query.query_id} stage={inst_name} : {e}')
|
||||
self.ap.logger.error(f'Traceback: {traceback.format_exc()}')
|
||||
finally:
|
||||
self.ap.logger.debug(f'Query {query} processed')
|
||||
self.ap.logger.debug(f'Query {query.query_id} processed')
|
||||
|
||||
|
||||
class PipelineManager:
|
||||
|
||||
@@ -11,11 +11,11 @@ from ...platform.types import message as platform_message
|
||||
|
||||
@stage.stage_class('PreProcessor')
|
||||
class PreProcessor(stage.PipelineStage):
|
||||
"""请求预处理阶段
|
||||
"""Request pre-processing stage
|
||||
|
||||
签出会话、prompt、上文、模型、内容函数。
|
||||
Check out session, prompt, context, model, and content functions.
|
||||
|
||||
改写:
|
||||
Rewrite:
|
||||
- session
|
||||
- prompt
|
||||
- messages
|
||||
@@ -29,12 +29,12 @@ class PreProcessor(stage.PipelineStage):
|
||||
query: core_entities.Query,
|
||||
stage_inst_name: str,
|
||||
) -> entities.StageProcessResult:
|
||||
"""处理"""
|
||||
"""Process"""
|
||||
selected_runner = query.pipeline_config['ai']['runner']['runner']
|
||||
|
||||
session = await self.ap.sess_mgr.get_session(query)
|
||||
|
||||
# 非 local-agent 时,llm_model 为 None
|
||||
# When not local-agent, llm_model is None
|
||||
llm_model = (
|
||||
await self.ap.model_mgr.get_model_by_uuid(query.pipeline_config['ai']['local-agent']['model'])
|
||||
if selected_runner == 'local-agent'
|
||||
@@ -51,7 +51,7 @@ class PreProcessor(stage.PipelineStage):
|
||||
|
||||
conversation.use_llm_model = llm_model
|
||||
|
||||
# 设置query
|
||||
# Set query
|
||||
query.session = session
|
||||
query.prompt = conversation.prompt.copy()
|
||||
query.messages = conversation.messages.copy()
|
||||
@@ -80,14 +80,15 @@ class PreProcessor(stage.PipelineStage):
|
||||
if me.type == 'image_url':
|
||||
msg.content.remove(me)
|
||||
|
||||
content_list = []
|
||||
content_list: list[llm_entities.ContentElement] = []
|
||||
|
||||
plain_text = ''
|
||||
qoute_msg = query.pipeline_config['trigger'].get('misc', '').get('combine-quote-message')
|
||||
|
||||
# tidy the content_list
|
||||
# combine all text content into one, and put it in the first position
|
||||
for me in query.message_chain:
|
||||
if isinstance(me, platform_message.Plain):
|
||||
content_list.append(llm_entities.ContentElement.from_text(me.text))
|
||||
plain_text += me.text
|
||||
elif isinstance(me, platform_message.Image):
|
||||
if selected_runner != 'local-agent' or query.use_llm_model.model_entity.abilities.__contains__(
|
||||
@@ -106,10 +107,12 @@ class PreProcessor(stage.PipelineStage):
|
||||
if msg.base64 is not None:
|
||||
content_list.append(llm_entities.ContentElement.from_image_base64(msg.base64))
|
||||
|
||||
content_list.insert(0, llm_entities.ContentElement.from_text(plain_text))
|
||||
|
||||
query.variables['user_message_text'] = plain_text
|
||||
|
||||
query.user_message = llm_entities.Message(role='user', content=content_list)
|
||||
# =========== 触发事件 PromptPreProcessing
|
||||
# =========== Trigger event PromptPreProcessing
|
||||
|
||||
event_ctx = await self.ap.plugin_mgr.emit_event(
|
||||
event=events.PromptPreProcessing(
|
||||
|
||||
@@ -25,7 +25,7 @@ class MessageHandler(metaclass=abc.ABCMeta):
|
||||
|
||||
def cut_str(self, s: str) -> str:
|
||||
"""
|
||||
取字符串第一行,最多20个字符,若有多行,或超过20个字符,则加省略号
|
||||
Take the first line of the string, up to 20 characters, if there are multiple lines, or more than 20 characters, add an ellipsis
|
||||
"""
|
||||
s0 = s.split('\n')[0]
|
||||
if len(s0) > 20 or '\n' in s:
|
||||
|
||||
@@ -1,5 +1,6 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import uuid
|
||||
import typing
|
||||
import traceback
|
||||
|
||||
@@ -46,7 +47,6 @@ class ChatMessageHandler(handler.MessageHandler):
|
||||
if event_ctx.is_prevented_default():
|
||||
if event_ctx.event.reply is not None:
|
||||
mc = platform_message.MessageChain(event_ctx.event.reply)
|
||||
|
||||
query.resp_messages.append(mc)
|
||||
|
||||
yield entities.StageProcessResult(result_type=entities.ResultType.CONTINUE, new_query=query)
|
||||
@@ -58,6 +58,10 @@ class ChatMessageHandler(handler.MessageHandler):
|
||||
query.user_message.content = event_ctx.event.alter
|
||||
|
||||
text_length = 0
|
||||
try:
|
||||
is_stream = await query.adapter.is_stream_output_supported()
|
||||
except AttributeError:
|
||||
is_stream = False
|
||||
|
||||
try:
|
||||
for r in runner_module.preregistered_runners:
|
||||
@@ -66,21 +70,41 @@ class ChatMessageHandler(handler.MessageHandler):
|
||||
break
|
||||
else:
|
||||
raise ValueError(f'未找到请求运行器: {query.pipeline_config["ai"]["runner"]["runner"]}')
|
||||
if is_stream:
|
||||
resp_message_id = uuid.uuid4()
|
||||
await query.adapter.create_message_card(str(resp_message_id), query.message_event)
|
||||
async for result in runner.run(query):
|
||||
result.resp_message_id = str(resp_message_id)
|
||||
if query.resp_messages:
|
||||
query.resp_messages.pop()
|
||||
if query.resp_message_chain:
|
||||
query.resp_message_chain.pop()
|
||||
|
||||
async for result in runner.run(query):
|
||||
query.resp_messages.append(result)
|
||||
query.resp_messages.append(result)
|
||||
self.ap.logger.info(f'对话({query.query_id})流式响应: {self.cut_str(result.readable_str())}')
|
||||
|
||||
self.ap.logger.info(f'对话({query.query_id})响应: {self.cut_str(result.readable_str())}')
|
||||
if result.content is not None:
|
||||
text_length += len(result.content)
|
||||
|
||||
if result.content is not None:
|
||||
text_length += len(result.content)
|
||||
yield entities.StageProcessResult(result_type=entities.ResultType.CONTINUE, new_query=query)
|
||||
|
||||
yield entities.StageProcessResult(result_type=entities.ResultType.CONTINUE, new_query=query)
|
||||
else:
|
||||
async for result in runner.run(query):
|
||||
query.resp_messages.append(result)
|
||||
|
||||
self.ap.logger.info(f'对话({query.query_id})响应: {self.cut_str(result.readable_str())}')
|
||||
|
||||
if result.content is not None:
|
||||
text_length += len(result.content)
|
||||
|
||||
yield entities.StageProcessResult(result_type=entities.ResultType.CONTINUE, new_query=query)
|
||||
|
||||
query.session.using_conversation.messages.append(query.user_message)
|
||||
|
||||
query.session.using_conversation.messages.extend(query.resp_messages)
|
||||
except Exception as e:
|
||||
self.ap.logger.error(f'对话({query.query_id})请求失败: {type(e).__name__} {str(e)}')
|
||||
traceback.print_exc()
|
||||
|
||||
hide_exception_info = query.pipeline_config['output']['misc']['hide-exception']
|
||||
|
||||
@@ -93,4 +117,4 @@ class ChatMessageHandler(handler.MessageHandler):
|
||||
)
|
||||
finally:
|
||||
# TODO statistics
|
||||
pass
|
||||
pass
|
||||
@@ -15,7 +15,7 @@ class CommandHandler(handler.MessageHandler):
|
||||
self,
|
||||
query: core_entities.Query,
|
||||
) -> typing.AsyncGenerator[entities.StageProcessResult, None]:
|
||||
"""处理"""
|
||||
"""Process"""
|
||||
|
||||
command_text = str(query.message_chain).strip()[1:]
|
||||
|
||||
@@ -70,7 +70,7 @@ class CommandHandler(handler.MessageHandler):
|
||||
)
|
||||
)
|
||||
|
||||
self.ap.logger.info(f'命令({query.query_id})报错: {self.cut_str(str(ret.error))}')
|
||||
self.ap.logger.info(f'Command({query.query_id}) error: {self.cut_str(str(ret.error))}')
|
||||
|
||||
yield entities.StageProcessResult(result_type=entities.ResultType.CONTINUE, new_query=query)
|
||||
elif ret.text is not None or ret.image_url is not None:
|
||||
@@ -89,7 +89,7 @@ class CommandHandler(handler.MessageHandler):
|
||||
)
|
||||
)
|
||||
|
||||
self.ap.logger.info(f'命令返回: {self.cut_str(str(content[0]))}')
|
||||
self.ap.logger.info(f'Command returned: {self.cut_str(str(content[0]))}')
|
||||
|
||||
yield entities.StageProcessResult(result_type=entities.ResultType.CONTINUE, new_query=query)
|
||||
else:
|
||||
|
||||
@@ -33,11 +33,11 @@ class Processor(stage.PipelineStage):
|
||||
query: core_entities.Query,
|
||||
stage_inst_name: str,
|
||||
) -> entities.StageProcessResult:
|
||||
"""处理"""
|
||||
"""Process"""
|
||||
message_text = str(query.message_chain).strip()
|
||||
|
||||
self.ap.logger.info(
|
||||
f'处理 {query.launcher_type.value}_{query.launcher_id} 的请求({query.query_id}): {message_text}'
|
||||
f'Processing request from {query.launcher_type.value}_{query.launcher_id} ({query.query_id}): {message_text}'
|
||||
)
|
||||
|
||||
async def generator():
|
||||
|
||||
@@ -7,6 +7,10 @@ import asyncio
|
||||
from ...platform.types import events as platform_events
|
||||
from ...platform.types import message as platform_message
|
||||
|
||||
from ...provider import entities as llm_entities
|
||||
|
||||
|
||||
|
||||
from .. import stage, entities
|
||||
from ...core import entities as core_entities
|
||||
|
||||
@@ -36,10 +40,22 @@ class SendResponseBackStage(stage.PipelineStage):
|
||||
|
||||
quote_origin = query.pipeline_config['output']['misc']['quote-origin']
|
||||
|
||||
await query.adapter.reply_message(
|
||||
message_source=query.message_event,
|
||||
message=query.resp_message_chain[-1],
|
||||
quote_origin=quote_origin,
|
||||
)
|
||||
has_chunks = any(isinstance(msg, llm_entities.MessageChunk) for msg in query.resp_messages)
|
||||
# TODO 命令与流式的兼容性问题
|
||||
if await query.adapter.is_stream_output_supported() and has_chunks:
|
||||
is_final = [msg.is_final for msg in query.resp_messages][0]
|
||||
await query.adapter.reply_message_chunk(
|
||||
message_source=query.message_event,
|
||||
bot_message=query.resp_messages[-1],
|
||||
message=query.resp_message_chain[-1],
|
||||
quote_origin=quote_origin,
|
||||
is_final=is_final,
|
||||
)
|
||||
else:
|
||||
await query.adapter.reply_message(
|
||||
message_source=query.message_event,
|
||||
message=query.resp_message_chain[-1],
|
||||
quote_origin=quote_origin,
|
||||
)
|
||||
|
||||
return entities.StageProcessResult(result_type=entities.ResultType.CONTINUE, new_query=query)
|
||||
|
||||
@@ -61,14 +61,40 @@ class MessagePlatformAdapter(metaclass=abc.ABCMeta):
|
||||
"""
|
||||
raise NotImplementedError
|
||||
|
||||
async def reply_message_chunk(
|
||||
self,
|
||||
message_source: platform_events.MessageEvent,
|
||||
bot_message: dict,
|
||||
message: platform_message.MessageChain,
|
||||
quote_origin: bool = False,
|
||||
is_final: bool = False,
|
||||
):
|
||||
"""回复消息(流式输出)
|
||||
Args:
|
||||
message_source (platform.types.MessageEvent): 消息源事件
|
||||
message_id (int): 消息ID
|
||||
message (platform.types.MessageChain): 消息链
|
||||
quote_origin (bool, optional): 是否引用原消息. Defaults to False.
|
||||
is_final (bool, optional): 流式是否结束. Defaults to False.
|
||||
"""
|
||||
raise NotImplementedError
|
||||
|
||||
async def create_message_card(self, message_id: typing.Type[str, int], event: platform_events.MessageEvent) -> bool:
|
||||
"""创建卡片消息
|
||||
Args:
|
||||
message_id (str): 消息ID
|
||||
event (platform_events.MessageEvent): 消息源事件
|
||||
"""
|
||||
return False
|
||||
|
||||
async def is_muted(self, group_id: int) -> bool:
|
||||
"""获取账号是否在指定群被禁言"""
|
||||
raise NotImplementedError
|
||||
|
||||
def register_listener(
|
||||
self,
|
||||
event_type: typing.Type[platform_message.Event],
|
||||
callback: typing.Callable[[platform_message.Event, MessagePlatformAdapter], None],
|
||||
event_type: typing.Type[platform_events.Event],
|
||||
callback: typing.Callable[[platform_events.Event, MessagePlatformAdapter], None],
|
||||
):
|
||||
"""注册事件监听器
|
||||
|
||||
@@ -80,8 +106,8 @@ class MessagePlatformAdapter(metaclass=abc.ABCMeta):
|
||||
|
||||
def unregister_listener(
|
||||
self,
|
||||
event_type: typing.Type[platform_message.Event],
|
||||
callback: typing.Callable[[platform_message.Event, MessagePlatformAdapter], None],
|
||||
event_type: typing.Type[platform_events.Event],
|
||||
callback: typing.Callable[[platform_events.Event, MessagePlatformAdapter], None],
|
||||
):
|
||||
"""注销事件监听器
|
||||
|
||||
@@ -95,6 +121,10 @@ class MessagePlatformAdapter(metaclass=abc.ABCMeta):
|
||||
"""异步运行"""
|
||||
raise NotImplementedError
|
||||
|
||||
async def is_stream_output_supported(self) -> bool:
|
||||
"""是否支持流式输出"""
|
||||
return False
|
||||
|
||||
async def kill(self) -> bool:
|
||||
"""关闭适配器
|
||||
|
||||
@@ -136,7 +166,7 @@ class EventConverter:
|
||||
"""事件转换器基类"""
|
||||
|
||||
@staticmethod
|
||||
def yiri2target(event: typing.Type[platform_message.Event]):
|
||||
def yiri2target(event: typing.Type[platform_events.Event]):
|
||||
"""将源平台事件转换为目标平台事件
|
||||
|
||||
Args:
|
||||
@@ -148,7 +178,7 @@ class EventConverter:
|
||||
raise NotImplementedError
|
||||
|
||||
@staticmethod
|
||||
def target2yiri(event: typing.Any) -> platform_message.Event:
|
||||
def target2yiri(event: typing.Any) -> platform_events.Event:
|
||||
"""将目标平台事件的调用参数转换为源平台的事件参数对象
|
||||
|
||||
Args:
|
||||
|
||||
@@ -120,8 +120,10 @@ class RuntimeBot:
|
||||
if isinstance(e, asyncio.CancelledError):
|
||||
self.task_context.set_current_action('Exited.')
|
||||
return
|
||||
|
||||
traceback_str = traceback.format_exc()
|
||||
self.task_context.set_current_action('Exited with error.')
|
||||
await self.logger.error(f'平台适配器运行出错:\n{e}\n{traceback.format_exc()}')
|
||||
await self.logger.error(f'平台适配器运行出错:\n{e}\n{traceback_str}')
|
||||
|
||||
self.task_wrapper = self.ap.task_mgr.create_task(
|
||||
exception_wrapper(),
|
||||
|
||||
@@ -119,7 +119,7 @@ class EventLogger:
|
||||
async def _truncate_logs(self):
|
||||
if len(self.logs) > MAX_LOG_COUNT:
|
||||
for i in range(DELETE_COUNT_PER_TIME):
|
||||
for image_key in self.logs[i].images:
|
||||
for image_key in self.logs[i].images: # type: ignore
|
||||
await self.ap.storage_mgr.storage_provider.delete(image_key)
|
||||
self.logs = self.logs[DELETE_COUNT_PER_TIME:]
|
||||
|
||||
|
||||
@@ -16,7 +16,6 @@ from ..logger import EventLogger
|
||||
|
||||
|
||||
class AiocqhttpMessageConverter(adapter.MessageConverter):
|
||||
|
||||
@staticmethod
|
||||
async def yiri2target(
|
||||
message_chain: platform_message.MessageChain,
|
||||
@@ -62,87 +61,169 @@ class AiocqhttpMessageConverter(adapter.MessageConverter):
|
||||
for node in msg.node_list:
|
||||
msg_list.extend((await AiocqhttpMessageConverter.yiri2target(node.message_chain))[0])
|
||||
elif isinstance(msg, platform_message.File):
|
||||
msg_list.append({"type":"file", "data":{'file': msg.url, "name": msg.name}})
|
||||
msg_list.append({'type': 'file', 'data': {'file': msg.url, 'name': msg.name}})
|
||||
elif isinstance(msg, platform_message.Face):
|
||||
if msg.face_type=='face':
|
||||
if msg.face_type == 'face':
|
||||
msg_list.append(aiocqhttp.MessageSegment.face(msg.face_id))
|
||||
elif msg.face_type=='rps':
|
||||
elif msg.face_type == 'rps':
|
||||
msg_list.append(aiocqhttp.MessageSegment.rps())
|
||||
elif msg.face_type=='dice':
|
||||
elif msg.face_type == 'dice':
|
||||
msg_list.append(aiocqhttp.MessageSegment.dice())
|
||||
|
||||
|
||||
else:
|
||||
msg_list.append(aiocqhttp.MessageSegment.text(str(msg)))
|
||||
|
||||
return msg_list, msg_id, msg_time
|
||||
|
||||
@staticmethod
|
||||
async def target2yiri(message: str, message_id: int = -1,bot=None):
|
||||
print(message)
|
||||
async def target2yiri(message: str, message_id: int = -1, bot: aiocqhttp.CQHttp = None):
|
||||
message = aiocqhttp.Message(message)
|
||||
|
||||
def get_face_name(face_id):
|
||||
face_code_dict = {
|
||||
"2": '好色',
|
||||
"4": "得意", "5": "流泪", "8": "睡", "9": "大哭", "10": "尴尬", "12": "调皮", "14": "微笑", "16": "酷",
|
||||
"21": "可爱",
|
||||
"23": "傲慢", "24": "饥饿", "25": "困", "26": "惊恐", "27": "流汗", "28": "憨笑", "29": "悠闲",
|
||||
"30": "奋斗",
|
||||
"32": "疑问", "33": "嘘", "34": "晕", "38": "敲打", "39": "再见", "41": "发抖", "42": "爱情",
|
||||
"43": "跳跳",
|
||||
"49": "拥抱", "53": "蛋糕", "60": "咖啡", "63": "玫瑰", "66": "爱心", "74": "太阳", "75": "月亮",
|
||||
"76": "赞",
|
||||
"78": "握手", "79": "胜利", "85": "飞吻", "89": "西瓜", "96": "冷汗", "97": "擦汗", "98": "抠鼻",
|
||||
"99": "鼓掌",
|
||||
"100": "糗大了", "101": "坏笑", "102": "左哼哼", "103": "右哼哼", "104": "哈欠", "106": "委屈",
|
||||
"109": "左亲亲",
|
||||
"111": "可怜", "116": "示爱", "118": "抱拳", "120": "拳头", "122": "爱你", "123": "NO", "124": "OK",
|
||||
"125": "转圈",
|
||||
"129": "挥手", "144": "喝彩", "147": "棒棒糖", "171": "茶", "173": "泪奔", "174": "无奈", "175": "卖萌",
|
||||
"176": "小纠结", "179": "doge", "180": "惊喜", "181": "骚扰", "182": "笑哭", "183": "我最美",
|
||||
"201": "点赞",
|
||||
"203": "托脸", "212": "托腮", "214": "啵啵", "219": "蹭一蹭", "222": "抱抱", "227": "拍手",
|
||||
"232": "佛系",
|
||||
"240": "喷脸", "243": "甩头", "246": "加油抱抱", "262": "脑阔疼", "264": "捂脸", "265": "辣眼睛",
|
||||
"266": "哦哟",
|
||||
"267": "头秃", "268": "问号脸", "269": "暗中观察", "270": "emm", "271": "吃瓜", "272": "呵呵哒",
|
||||
"273": "我酸了",
|
||||
"277": "汪汪", "278": "汗", "281": "无眼笑", "282": "敬礼", "284": "面无表情", "285": "摸鱼",
|
||||
"287": "哦",
|
||||
"289": "睁眼", "290": "敲开心", "293": "摸锦鲤", "294": "期待", "297": "拜谢", "298": "元宝",
|
||||
"299": "牛啊",
|
||||
"305": "右亲亲", "306": "牛气冲天", "307": "喵喵", "314": "仔细分析", "315": "加油", "318": "崇拜",
|
||||
"319": "比心",
|
||||
"320": "庆祝", "322": "拒绝", "324": "吃糖", "326": "生气"
|
||||
'2': '好色',
|
||||
'4': '得意',
|
||||
'5': '流泪',
|
||||
'8': '睡',
|
||||
'9': '大哭',
|
||||
'10': '尴尬',
|
||||
'12': '调皮',
|
||||
'14': '微笑',
|
||||
'16': '酷',
|
||||
'21': '可爱',
|
||||
'23': '傲慢',
|
||||
'24': '饥饿',
|
||||
'25': '困',
|
||||
'26': '惊恐',
|
||||
'27': '流汗',
|
||||
'28': '憨笑',
|
||||
'29': '悠闲',
|
||||
'30': '奋斗',
|
||||
'32': '疑问',
|
||||
'33': '嘘',
|
||||
'34': '晕',
|
||||
'38': '敲打',
|
||||
'39': '再见',
|
||||
'41': '发抖',
|
||||
'42': '爱情',
|
||||
'43': '跳跳',
|
||||
'49': '拥抱',
|
||||
'53': '蛋糕',
|
||||
'60': '咖啡',
|
||||
'63': '玫瑰',
|
||||
'66': '爱心',
|
||||
'74': '太阳',
|
||||
'75': '月亮',
|
||||
'76': '赞',
|
||||
'78': '握手',
|
||||
'79': '胜利',
|
||||
'85': '飞吻',
|
||||
'89': '西瓜',
|
||||
'96': '冷汗',
|
||||
'97': '擦汗',
|
||||
'98': '抠鼻',
|
||||
'99': '鼓掌',
|
||||
'100': '糗大了',
|
||||
'101': '坏笑',
|
||||
'102': '左哼哼',
|
||||
'103': '右哼哼',
|
||||
'104': '哈欠',
|
||||
'106': '委屈',
|
||||
'109': '左亲亲',
|
||||
'111': '可怜',
|
||||
'116': '示爱',
|
||||
'118': '抱拳',
|
||||
'120': '拳头',
|
||||
'122': '爱你',
|
||||
'123': 'NO',
|
||||
'124': 'OK',
|
||||
'125': '转圈',
|
||||
'129': '挥手',
|
||||
'144': '喝彩',
|
||||
'147': '棒棒糖',
|
||||
'171': '茶',
|
||||
'173': '泪奔',
|
||||
'174': '无奈',
|
||||
'175': '卖萌',
|
||||
'176': '小纠结',
|
||||
'179': 'doge',
|
||||
'180': '惊喜',
|
||||
'181': '骚扰',
|
||||
'182': '笑哭',
|
||||
'183': '我最美',
|
||||
'201': '点赞',
|
||||
'203': '托脸',
|
||||
'212': '托腮',
|
||||
'214': '啵啵',
|
||||
'219': '蹭一蹭',
|
||||
'222': '抱抱',
|
||||
'227': '拍手',
|
||||
'232': '佛系',
|
||||
'240': '喷脸',
|
||||
'243': '甩头',
|
||||
'246': '加油抱抱',
|
||||
'262': '脑阔疼',
|
||||
'264': '捂脸',
|
||||
'265': '辣眼睛',
|
||||
'266': '哦哟',
|
||||
'267': '头秃',
|
||||
'268': '问号脸',
|
||||
'269': '暗中观察',
|
||||
'270': 'emm',
|
||||
'271': '吃瓜',
|
||||
'272': '呵呵哒',
|
||||
'273': '我酸了',
|
||||
'277': '汪汪',
|
||||
'278': '汗',
|
||||
'281': '无眼笑',
|
||||
'282': '敬礼',
|
||||
'284': '面无表情',
|
||||
'285': '摸鱼',
|
||||
'287': '哦',
|
||||
'289': '睁眼',
|
||||
'290': '敲开心',
|
||||
'293': '摸锦鲤',
|
||||
'294': '期待',
|
||||
'297': '拜谢',
|
||||
'298': '元宝',
|
||||
'299': '牛啊',
|
||||
'305': '右亲亲',
|
||||
'306': '牛气冲天',
|
||||
'307': '喵喵',
|
||||
'314': '仔细分析',
|
||||
'315': '加油',
|
||||
'318': '崇拜',
|
||||
'319': '比心',
|
||||
'320': '庆祝',
|
||||
'322': '拒绝',
|
||||
'324': '吃糖',
|
||||
'326': '生气',
|
||||
}
|
||||
return face_code_dict.get(face_id,'')
|
||||
return face_code_dict.get(face_id, '')
|
||||
|
||||
async def process_message_data(msg_data, reply_list):
|
||||
if msg_data["type"] == "image":
|
||||
image_base64, image_format = await image.qq_image_url_to_base64(msg_data["data"]['url'])
|
||||
reply_list.append(
|
||||
platform_message.Image(base64=f'data:image/{image_format};base64,{image_base64}'))
|
||||
if msg_data['type'] == 'image':
|
||||
image_base64, image_format = await image.qq_image_url_to_base64(msg_data['data']['url'])
|
||||
reply_list.append(platform_message.Image(base64=f'data:image/{image_format};base64,{image_base64}'))
|
||||
|
||||
elif msg_data["type"] == "text":
|
||||
reply_list.append(platform_message.Plain(text=msg_data["data"]["text"]))
|
||||
elif msg_data['type'] == 'text':
|
||||
reply_list.append(platform_message.Plain(text=msg_data['data']['text']))
|
||||
|
||||
elif msg_data["type"] == "forward": # 这里来应该传入转发消息组,暂时传入qoute
|
||||
for forward_msg_datas in msg_data["data"]["content"]:
|
||||
for forward_msg_data in forward_msg_datas["message"]:
|
||||
elif msg_data['type'] == 'forward': # 这里来应该传入转发消息组,暂时传入qoute
|
||||
for forward_msg_datas in msg_data['data']['content']:
|
||||
for forward_msg_data in forward_msg_datas['message']:
|
||||
await process_message_data(forward_msg_data, reply_list)
|
||||
|
||||
elif msg_data["type"] == "at":
|
||||
if msg_data["data"]['qq'] == 'all':
|
||||
elif msg_data['type'] == 'at':
|
||||
if msg_data['data']['qq'] == 'all':
|
||||
reply_list.append(platform_message.AtAll())
|
||||
else:
|
||||
reply_list.append(
|
||||
platform_message.At(
|
||||
target=msg_data["data"]['qq'],
|
||||
target=msg_data['data']['qq'],
|
||||
)
|
||||
)
|
||||
|
||||
|
||||
yiri_msg_list = []
|
||||
|
||||
yiri_msg_list.append(platform_message.Source(id=message_id, time=datetime.datetime.now()))
|
||||
@@ -161,10 +242,10 @@ class AiocqhttpMessageConverter(adapter.MessageConverter):
|
||||
elif msg.type == 'text':
|
||||
yiri_msg_list.append(platform_message.Plain(text=msg.data['text']))
|
||||
elif msg.type == 'image':
|
||||
emoji_id = msg.data.get("emoji_package_id", None)
|
||||
emoji_id = msg.data.get('emoji_package_id', None)
|
||||
if emoji_id:
|
||||
face_id = emoji_id
|
||||
face_name = msg.data.get("summary", '')
|
||||
face_name = msg.data.get('summary', '')
|
||||
image_msg = platform_message.Face(face_id=face_id, face_name=face_name)
|
||||
else:
|
||||
image_base64, image_format = await image.qq_image_url_to_base64(msg.data['url'])
|
||||
@@ -178,65 +259,53 @@ class AiocqhttpMessageConverter(adapter.MessageConverter):
|
||||
# await process_message_data(msg_data, yiri_msg_list)
|
||||
pass
|
||||
|
||||
|
||||
elif msg.type == 'reply': # 此处处理引用消息传入Qoute
|
||||
msg_datas = await bot.get_msg(message_id=msg.data["id"])
|
||||
msg_datas = await bot.get_msg(message_id=msg.data['id'])
|
||||
|
||||
for msg_data in msg_datas["message"]:
|
||||
for msg_data in msg_datas['message']:
|
||||
await process_message_data(msg_data, reply_list)
|
||||
|
||||
reply_msg = platform_message.Quote(message_id=msg.data["id"],sender_id=msg_datas["user_id"],origin=reply_list)
|
||||
reply_msg = platform_message.Quote(
|
||||
message_id=msg.data['id'], sender_id=msg_datas['sender']['user_id'], origin=reply_list
|
||||
)
|
||||
yiri_msg_list.append(reply_msg)
|
||||
|
||||
elif msg.type == 'file':
|
||||
# file_name = msg.data['file']
|
||||
file_id = msg.data['file_id']
|
||||
file_data = await bot.get_file(file_id=file_id)
|
||||
file_name = file_data.get('file_name')
|
||||
file_path = file_data.get('file')
|
||||
file_url = file_data.get('file_url')
|
||||
file_size = file_data.get('file_size')
|
||||
yiri_msg_list.append(platform_message.File(id=file_id, name=file_name,url=file_url,size=file_size))
|
||||
# 这里下载所有文件会导致下载文件过多,暂时不下载
|
||||
# elif msg.type == 'file':
|
||||
# # file_name = msg.data['file']
|
||||
# file_id = msg.data['file_id']
|
||||
# file_data = await bot.get_file(file_id=file_id)
|
||||
# file_name = file_data.get('file_name')
|
||||
# file_path = file_data.get('file')
|
||||
# file_url = file_data.get('file_url')
|
||||
# file_size = file_data.get('file_size')
|
||||
# yiri_msg_list.append(platform_message.File(id=file_id, name=file_name,url=file_url,size=file_size))
|
||||
elif msg.type == 'face':
|
||||
face_id = msg.data['id']
|
||||
face_name = msg.data['raw']['faceText']
|
||||
if not face_name:
|
||||
face_name = get_face_name(face_id)
|
||||
yiri_msg_list.append(platform_message.Face(face_id=int(face_id),face_name=face_name.replace('/','')))
|
||||
yiri_msg_list.append(platform_message.Face(face_id=int(face_id), face_name=face_name.replace('/', '')))
|
||||
elif msg.type == 'rps':
|
||||
face_id = msg.data['result']
|
||||
yiri_msg_list.append(platform_message.Face(face_type="rps",face_id=int(face_id),face_name='猜拳'))
|
||||
yiri_msg_list.append(platform_message.Face(face_type='rps', face_id=int(face_id), face_name='猜拳'))
|
||||
elif msg.type == 'dice':
|
||||
face_id = msg.data['result']
|
||||
yiri_msg_list.append(platform_message.Face(face_type='dice',face_id=int(face_id),face_name='骰子'))
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
yiri_msg_list.append(platform_message.Face(face_type='dice', face_id=int(face_id), face_name='骰子'))
|
||||
|
||||
chain = platform_message.MessageChain(yiri_msg_list)
|
||||
|
||||
return chain
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
class AiocqhttpEventConverter(adapter.EventConverter):
|
||||
@staticmethod
|
||||
async def yiri2target(event: platform_events.MessageEvent, bot_account_id: int):
|
||||
return event.source_platform_object
|
||||
|
||||
@staticmethod
|
||||
async def target2yiri(event: aiocqhttp.Event,bot=None):
|
||||
yiri_chain = await AiocqhttpMessageConverter.target2yiri(event.message, event.message_id,bot)
|
||||
|
||||
|
||||
async def target2yiri(event: aiocqhttp.Event, bot=None):
|
||||
yiri_chain = await AiocqhttpMessageConverter.target2yiri(event.message, event.message_id, bot)
|
||||
|
||||
if event.message_type == 'group':
|
||||
permission = 'MEMBER'
|
||||
@@ -316,7 +385,6 @@ class AiocqhttpAdapter(adapter.MessagePlatformAdapter):
|
||||
aiocq_msg = (await AiocqhttpMessageConverter.yiri2target(message))[0]
|
||||
|
||||
if target_type == 'group':
|
||||
|
||||
await self.bot.send_group_msg(group_id=int(target_id), message=aiocq_msg)
|
||||
elif target_type == 'person':
|
||||
await self.bot.send_private_msg(user_id=int(target_id), message=aiocq_msg)
|
||||
@@ -345,7 +413,7 @@ class AiocqhttpAdapter(adapter.MessagePlatformAdapter):
|
||||
async def on_message(event: aiocqhttp.Event):
|
||||
self.bot_account_id = event.self_id
|
||||
try:
|
||||
return await callback(await self.event_converter.target2yiri(event,self.bot), self)
|
||||
return await callback(await self.event_converter.target2yiri(event, self.bot), self)
|
||||
except Exception:
|
||||
await self.logger.error(f'Error in on_message: {traceback.format_exc()}')
|
||||
traceback.print_exc()
|
||||
|
||||
@@ -1,3 +1,4 @@
|
||||
from re import S
|
||||
import traceback
|
||||
import typing
|
||||
from libs.dingtalk_api.dingtalkevent import DingTalkEvent
|
||||
@@ -99,11 +100,15 @@ class DingTalkAdapter(adapter.MessagePlatformAdapter):
|
||||
message_converter: DingTalkMessageConverter = DingTalkMessageConverter()
|
||||
event_converter: DingTalkEventConverter = DingTalkEventConverter()
|
||||
config: dict
|
||||
card_instance_id_dict: dict # 回复卡片消息字典,key为消息id,value为回复卡片实例id,用于在流式消息时判断是否发送到指定卡片
|
||||
seq: int # 消息顺序,直接以seq作为标识
|
||||
|
||||
def __init__(self, config: dict, ap: app.Application, logger: EventLogger):
|
||||
self.config = config
|
||||
self.ap = ap
|
||||
self.logger = logger
|
||||
self.card_instance_id_dict = {}
|
||||
# self.seq = 1
|
||||
required_keys = [
|
||||
'client_id',
|
||||
'client_secret',
|
||||
@@ -116,6 +121,15 @@ class DingTalkAdapter(adapter.MessagePlatformAdapter):
|
||||
|
||||
self.bot_account_id = self.config['robot_name']
|
||||
|
||||
self.bot = DingTalkClient(
|
||||
client_id=config['client_id'],
|
||||
client_secret=config['client_secret'],
|
||||
robot_name=config['robot_name'],
|
||||
robot_code=config['robot_code'],
|
||||
markdown_card=config['markdown_card'],
|
||||
logger=self.logger,
|
||||
)
|
||||
|
||||
async def reply_message(
|
||||
self,
|
||||
message_source: platform_events.MessageEvent,
|
||||
@@ -130,6 +144,34 @@ class DingTalkAdapter(adapter.MessagePlatformAdapter):
|
||||
content, at = await DingTalkMessageConverter.yiri2target(message)
|
||||
await self.bot.send_message(content, incoming_message, at)
|
||||
|
||||
async def reply_message_chunk(
|
||||
self,
|
||||
message_source: platform_events.MessageEvent,
|
||||
bot_message,
|
||||
message: platform_message.MessageChain,
|
||||
quote_origin: bool = False,
|
||||
is_final: bool = False,
|
||||
):
|
||||
# event = await DingTalkEventConverter.yiri2target(
|
||||
# message_source,
|
||||
# )
|
||||
# incoming_message = event.incoming_message
|
||||
|
||||
# msg_id = incoming_message.message_id
|
||||
message_id = bot_message.resp_message_id
|
||||
msg_seq = bot_message.msg_sequence
|
||||
|
||||
if (msg_seq - 1) % 8 == 0 or is_final:
|
||||
|
||||
content, at = await DingTalkMessageConverter.yiri2target(message)
|
||||
|
||||
card_instance, card_instance_id = self.card_instance_id_dict[message_id]
|
||||
# print(card_instance_id)
|
||||
await self.bot.send_card_message(card_instance, card_instance_id, content, is_final)
|
||||
if is_final and bot_message.tool_calls is None:
|
||||
# self.seq = 1 # 消息回复结束之后重置seq
|
||||
self.card_instance_id_dict.pop(message_id) # 消息回复结束之后删除卡片实例id
|
||||
|
||||
async def send_message(self, target_type: str, target_id: str, message: platform_message.MessageChain):
|
||||
content = await DingTalkMessageConverter.yiri2target(message)
|
||||
if target_type == 'person':
|
||||
@@ -137,6 +179,20 @@ class DingTalkAdapter(adapter.MessagePlatformAdapter):
|
||||
if target_type == 'group':
|
||||
await self.bot.send_proactive_message_to_group(target_id, content)
|
||||
|
||||
async def is_stream_output_supported(self) -> bool:
|
||||
is_stream = False
|
||||
if self.config.get('enable-stream-reply', None):
|
||||
is_stream = True
|
||||
return is_stream
|
||||
|
||||
async def create_message_card(self, message_id, event):
|
||||
card_template_id = self.config['card_template_id']
|
||||
incoming_message = event.source_platform_object.incoming_message
|
||||
# message_id = incoming_message.message_id
|
||||
card_instance, card_instance_id = await self.bot.create_and_card(card_template_id, incoming_message)
|
||||
self.card_instance_id_dict[message_id] = (card_instance, card_instance_id)
|
||||
return True
|
||||
|
||||
def register_listener(
|
||||
self,
|
||||
event_type: typing.Type[platform_events.Event],
|
||||
@@ -157,15 +213,6 @@ class DingTalkAdapter(adapter.MessagePlatformAdapter):
|
||||
self.bot.on_message('GroupMessage')(on_message)
|
||||
|
||||
async def run_async(self):
|
||||
config = self.config
|
||||
self.bot = DingTalkClient(
|
||||
client_id=config['client_id'],
|
||||
client_secret=config['client_secret'],
|
||||
robot_name=config['robot_name'],
|
||||
robot_code=config['robot_code'],
|
||||
markdown_card=config['markdown_card'],
|
||||
logger=self.logger,
|
||||
)
|
||||
await self.bot.start()
|
||||
|
||||
async def kill(self) -> bool:
|
||||
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user